{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T14:30:23Z","timestamp":1785335423491,"version":"3.55.0"},"reference-count":229,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T00:00:00Z","timestamp":1678233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004515","name":"Universiti Kebangsaan Malaysia","doi-asserted-by":"publisher","award":["FRGS\/1\/2021\/ICT07\/UKM\/02\/1"],"award-info":[{"award-number":["FRGS\/1\/2021\/ICT07\/UKM\/02\/1"]}],"id":[{"id":"10.13039\/501100004515","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004515","name":"Universiti Kebangsaan Malaysia","doi-asserted-by":"publisher","award":["DIP2.0-K023208-2023"],"award-info":[{"award-number":["DIP2.0-K023208-2023"]}],"id":[{"id":"10.13039\/501100004515","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Traditional parallel computing for power management systems has prime challenges such as execution time, computational complexity, and efficiency like process time and delays in power system condition monitoring, particularly consumer power consumption, weather data, and power generation for detecting and predicting data mining in the centralized parallel processing and diagnosis. Due to these constraints, data management has become a critical research consideration and bottleneck. To cope with these constraints, cloud computing-based methodologies have been introduced for managing data efficiently in power management systems. This paper reviews the concept of cloud computing architecture that can meet the multi-level real-time requirements to improve monitoring and performance which is designed for different application scenarios for power system monitoring. Then, cloud computing solutions are discussed under the background of big data, and emerging parallel programming models such as Hadoop, Spark, and Storm are briefly described to analyze the advancement, constraints, and innovations. The key performance metrics of cloud computing applications such as core data sampling, modeling, and analyzing the competitiveness of big data was modeled by applying related hypotheses. Finally, it introduces a new design concept with cloud computing and eventually some recommendations focusing on cloud computing infrastructure, and methods for managing real-time big data in the power management system that solve the data mining challenges.<\/jats:p>","DOI":"10.3390\/s23062952","type":"journal-article","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T02:01:47Z","timestamp":1678327307000},"page":"2952","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":125,"title":["Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3878-1271","authenticated-orcid":false,"given":"Ahmed Hadi Ali","family":"AL-Jumaili","sequence":"first","affiliation":[{"name":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia"},{"name":"Computer Centre Department, University of Fallujah, Anbar 00964, Iraq"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8999-9548","authenticated-orcid":false,"given":"Ravie Chandren","family":"Muniyandi","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5511-0205","authenticated-orcid":false,"given":"Mohammad Kamrul","family":"Hasan","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johnny Koh Siaw","family":"Paw","sequence":"additional","affiliation":[{"name":"Department of Electronic & Communication Engineering, Universiti Tenaga Nasional, Km 7, Jalan Ikram-Uniten, Kajang 43009, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mandeep Jit","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TSUSC.2019.2910129","article-title":"An artificial neural network approach to power consumption model construction for servers in cloud data centers","volume":"5","author":"Lin","year":"2019","journal-title":"IEEE Trans. Sustain. Comput."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"042055","DOI":"10.1088\/1757-899X\/677\/4\/042055","article-title":"A Cloud-computing and big data based wide area monitoring of power grids strategy","volume":"677","author":"Liu","year":"2019","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1016\/j.rser.2015.04.065","article-title":"A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings","volume":"50","author":"Raza","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.inffus.2019.06.004","article-title":"Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook","volume":"53","author":"Santos","year":"2020","journal-title":"Inf. Fusion"},{"key":"ref_5","unstructured":"Sharma, S., Kotturu, P.K., and Narooka, P.C. (2020). Swarm Intelligence Optimization: Algorithms and Applications, John Wiley & Sons, Inc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/TSG.2016.2591531","article-title":"Microgrids for service restoration to critical load in a resilient distribution system","volume":"9","author":"Xu","year":"2018","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"AL-Jumaili, A.H.A., Al Mashhadany, Y.I., Sulaiman, R., and Alyasseri, Z.A.A. (2021). A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges. Appl. Sci., 11.","DOI":"10.3390\/app11219820"},{"key":"ref_8","first-page":"012057","article-title":"A Real-time Detection Framework for Abnormal Devices in the Power Internet of Things","volume":"2166","author":"Miu","year":"2022","journal-title":"J. Phys."},{"key":"ref_9","unstructured":"Jain, S., and Chandrasekaran, K. (2022). Research Anthology on Cross-Disciplinary Designs and Applications of Automation, IGI Global."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1080\/02564602.2021.1994476","article-title":"Intelligent Fuzzy TIDF-II Controller for Load Frequency Control in Hybrid Energy System","volume":"39","author":"Zaheeruddin","year":"2021","journal-title":"IETE Tech. Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1002\/mop.33159","article-title":"Toward integrating bidirectional multiband data and power transmission using double clad optical fibers for the next generation disaster resilient managing communication systems","volume":"64","author":"Manimegalai","year":"2022","journal-title":"Microw. Opt. Technol. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1007\/s10619-021-07353-y","article-title":"Research on network abnormal data flow mining based on improved cluster analysis","volume":"40","author":"Jia","year":"2021","journal-title":"Distrib. Parallel. Databases"},{"key":"ref_13","first-page":"289","article-title":"International Journal of Information Management Real-time big data processing for anomaly detection: A Survey","volume":"45","author":"Ahamed","year":"2018","journal-title":"Int. J. Inf. Manag."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Lin, Z., Xiangping, L., Wenzhong, C., and Haoyue, P. (2021, January 14\u201316). Computer aided analysis and control of power system based on data mining technology. Proceedings of the 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, Dalian, China.","DOI":"10.1109\/IPEC51340.2021.9421297"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"379","DOI":"10.26483\/ijarcs.v9i2.5760","article-title":"Cloud Computing-Technologies","volume":"9","author":"Malik","year":"2018","journal-title":"Int. J. Adv. Res. Comput. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.future.2021.10.006","article-title":"Big data analysis of the internet of things in the digital twins of smart city based on deep learning","volume":"128","author":"Li","year":"2022","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1007\/s10586-020-03187-y","article-title":"Power efficient virtual machine placement in cloud data centers with a discrete and chaotic hybrid optimization algorithm","volume":"24","author":"Gharehpasha","year":"2021","journal-title":"Cluster Comput."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Li, Y., Shi, F., and Zhang, H. (June, January 31). Panoramic synchronous measurement system for wide-area power system based on the cloud computing. Proceedings of the 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), Wuhan, China.","DOI":"10.1109\/ICIEA.2018.8397816"},{"key":"ref_19","first-page":"17.1","article-title":"An approach to smart grid online data mining based on cloud computing","volume":"17","author":"Wang","year":"2016","journal-title":"Int. J. Simul. Syst. Sci. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"105718","DOI":"10.1016\/j.ijepes.2019.105718","article-title":"A framework for dynamic prediction of reliability weaknesses in power transmission systems based on imbalanced data","volume":"117","author":"Sun","year":"2020","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1504\/IJHPCN.2019.098570","article-title":"Assessing complex evolving cyber-physical systems (case study: Smart medical devices)","volume":"13","author":"Sliwa","year":"2019","journal-title":"Int. J. High Perform. Comput. Netw."},{"key":"ref_22","first-page":"1","article-title":"Optimal Design of Power Transformer with Advance Core Material using ANSYS Technique","volume":"4","author":"Urooj","year":"2020","journal-title":"Eur. J. Electr. Eng. Comput. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1093\/jamia\/ocz160","article-title":"Challenges and lessons learned in promoting adoption of standardized local public health service delivery data through the application of the Public Health Activities and Services Tracking model","volume":"26","author":"Bekemeier","year":"2019","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"070006","DOI":"10.1063\/5.0042398","article-title":"Canopy with &-means Clustering Algorithm for Big Data Analytics","volume":"2334","author":"Sagheer","year":"2021","journal-title":"AIP Conf. Proc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"149","DOI":"10.23919\/TST.2017.7889637","article-title":"Load feedback-based resource scheduling and dynamic migration-based data locality for virtual hadoop clusters in openstack-based clouds","volume":"22","author":"Tao","year":"2017","journal-title":"Tsinghua Sci. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"400","DOI":"10.26599\/TST.2018.9010122","article-title":"Task-aware flow scheduling with heterogeneous utility characteristics for data center networks","volume":"24","author":"Dong","year":"2019","journal-title":"Tsinghua Sci. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1109\/TII.2016.2597746","article-title":"Smart Random Neural Network Controller for HVAC Using Cloud Computing Technology","volume":"13","author":"Javed","year":"2017","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1007\/978-981-16-3637-0_56","article-title":"Data Processing on Distributed Systems Storage Challenges","volume":"Volume 237","author":"Eddoujaji","year":"2022","journal-title":"Smart Innovation, Systems and Technologies"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/17538947.2016.1239771","article-title":"Big Data and cloud computing: Innovation opportunities and challenges","volume":"10","author":"Yang","year":"2017","journal-title":"Int. J. Digit. Earth"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"042084","DOI":"10.1088\/1755-1315\/300\/4\/042084","article-title":"Big Data Storage Technology suitable for the Operation and Maintenance of New Generation Power Grid Dispatching Control System Operation","volume":"300","author":"Zhang","year":"2019","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_31","first-page":"941","article-title":"Real time control and monitoring of grid power systems using cloud computing","volume":"9","author":"Kulkarni","year":"2019","journal-title":"Int. J. Electr. Comput. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ahmed, M.H., Tiun, S., Omar, N., and Sani, N.S. (2022). Short Text Clustering Algorithms, Application and Challenges: A Survey. Appl. Sci., 13.","DOI":"10.3390\/app13010342"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"115356","DOI":"10.1109\/ACCESS.2020.3002184","article-title":"Energy-Efficient Hybrid Framework for Green Cloud Computing","volume":"8","author":"Alarifi","year":"2020","journal-title":"IEEE Access"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Ali, A.H., and Mohammad, O.K.J. (2019, January 24\u201326). Impacting of the E-Platforms on the 4.0th Industrial Educational Revolution. Proceedings of the Pervasive Health: Pervasive Computing Technologies for Healthcare, Cairo, Egypt.","DOI":"10.1145\/3361570.3361608"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7142","DOI":"10.36478\/jeasci.2019.7142.7153","article-title":"The Role of Social Media in Enhancing the Learning Process of Iraq Students","volume":"14","author":"Hamed","year":"2019","journal-title":"ARPN J. Eng. Appl. Sci."},{"key":"ref_36","first-page":"1","article-title":"Short-term Power Load Forecasting Based on Gate Recurrent Unit Network and Cloud Computing Platform","volume":"29","author":"Li","year":"2020","journal-title":"Pervasive Health Pervasive Comput. Technol. Healthc."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10723-020-09505-3","article-title":"An Anomaly Data Mining Method for Mass Sensor Networks Using Improved PSO Algorithm Based on Spark Parallel Framework","volume":"18","author":"Yuan","year":"2020","journal-title":"J. Grid Comput."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Deng, C., Liu, J., Liu, Y., and Yu, Z. (2016, January 13\u201315). Cloud computing based high-performance platform in enabling scalable services in power system. Proceedings of the 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China.","DOI":"10.1109\/FSKD.2016.7603522"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1007\/978-3-030-89511-2_67","article-title":"Short-Term Power Load Forecasting Method Based on Cloud Computing and Intelligent Algorithms","volume":"Volume 98","author":"Hu","year":"2022","journal-title":"Lecture Notes on Data Engineering and Communications Technologies"},{"key":"ref_40","unstructured":"Litchfield, A.T., and Althouse, J. (2014, January 7\u20139). A systematic review of cloud computing, big data and databases on the cloud. Proceedings of the Americas Conference on Information Systems, Savannah, GA, USA."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"28753","DOI":"10.1109\/ACCESS.2021.3059221","article-title":"A Novel Bearing Fault Diagnosis Method Using Spark-Based Parallel ACO-K-Means Clustering Algorithm","volume":"9","author":"Wan","year":"2021","journal-title":"IEEE Access"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Aziz, K., Zaidouni, D., and Bellafkih, M. (2018, January 26\u201327). Real-time data analysis using Spark and Hadoop. Proceedings of the 2018 International Conference on Optimization and Applications, ICOA 2018, Mohammedia, Morocco.","DOI":"10.1109\/ICOA.2018.8370593"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhu, T., Xiao, S., Zhang, Q., Gu, Y., Yi, P., and Li, Y. (2015). Emergent Technologies in Big Data Sensing: A Survey. Int. J. Distrib. Sens. Networks, 2015.","DOI":"10.1155\/2015\/902982"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3844","DOI":"10.1109\/ACCESS.2016.2580581","article-title":"Energy big data: A survey","volume":"4","author":"Jiang","year":"2016","journal-title":"IEEE Access"},{"key":"ref_45","first-page":"254","article-title":"Extract Five Categories CPIVW from the 9V\u2019s Characteristics of the Big Data","volume":"7","author":"Sami","year":"2016","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"ref_46","first-page":"519","article-title":"Cloud data encryption and authentication based on enhanced Merkle hash tree method","volume":"72","author":"Jayaprakash","year":"2022","journal-title":"Comput. Mater. Contin."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Lin, C.-H., Amir, M., Tariq, M., Shahvez, M., Alamri, B., Alahmadi, A., Siddiqui, M., and Beig, A.R. (2021). Comprehensive Analysis of IPT v\/s CPT for Wireless EV Charging and Effect of Capacitor Plate Shape and Foreign Particle on CPT. Processes, 9.","DOI":"10.3390\/pr9091619"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.1002\/etep.443","article-title":"Architecture of a microgrid energy management system","volume":"21","author":"Jimeno","year":"2011","journal-title":"Eur. Trans. Electr. Power"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Nizeyimana, E. (2020). Remote Sensing and GIS Integration, McGraw-Hill Professional Publishing.","DOI":"10.1201\/9781003053514-17"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"58","DOI":"10.14419\/ijet.v7i2.21.11836","article-title":"Modelling of cloud based online access system for solar charge controller","volume":"7","author":"Sharma","year":"2018","journal-title":"Int. J. Eng. Technol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.apenergy.2017.04.002","article-title":"Signal synchronization for massive data storage in modular battery management system with controller area network","volume":"197","author":"Kong","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"107375","DOI":"10.1016\/j.ijepes.2021.107375","article-title":"Design and implementation of a smart metering infrastructure for low voltage microgrids","volume":"134","author":"Siano","year":"2022","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Amir, M. (2019, January 16\u201317). ANN Based Approach for the Estimation and Enhancement of Power Transfer Capability. Proceedings of the 2019 International Conference on Power Electronics, Control and Automation (ICPECA), New Delhi, India.","DOI":"10.1109\/ICPECA47973.2019.8975665"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1686","DOI":"10.1109\/TASE.2019.2892480","article-title":"Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers","volume":"16","author":"Yuan","year":"2019","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Bitzer, B., and Gebretsadik, E.S. (2015;, January 16\u201318). Ensuring future clean electrical energy supply through cloud computing. Proceedings of the 2015 International Conference on Clean Electrical Power (ICCEP), Taormina, Italy.","DOI":"10.1109\/ICCEP.2015.7177616"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2596","DOI":"10.1109\/TSG.2016.2569493","article-title":"Cloud Computing for Power System Simulations at ISO New England-Experiences and Challenges","volume":"7","author":"Ma","year":"2016","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"100368","DOI":"10.1016\/j.imu.2020.100368","article-title":"A home hospitalization system based on the Internet of things, Fog computing and cloud computing","volume":"20","author":"Hassen","year":"2020","journal-title":"Inform. Med. Unlocked"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Rao, S.N.V.B., Yellapragada, V.P.K., Padma, K., Pradeep, D.J., Reddy, C.P., Amir, M., and Refaat, S.S. (2022). Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods. Energies, 15.","DOI":"10.3390\/en15176124"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/s10723-019-09504-z","article-title":"Research on Parallel Adaptive Canopy-K-Means Clustering Algorithm for Big Data Mining Based on Cloud Platform","volume":"18","author":"Xia","year":"2020","journal-title":"J. Grid Comput."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TSMC.2015.2430834","article-title":"FD4C: Automatic Fault Diagnosis Framework for Web Applications in Cloud Computing","volume":"46","author":"Wang","year":"2016","journal-title":"IEEE Trans. Syst. Man, Cybern. Syst."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"233","DOI":"10.14257\/ijgdc.2016.9.12.21","article-title":"Quantitative analysis of data mining application and sports industry financing mechanism based on cloud computing","volume":"9","author":"Wang","year":"2016","journal-title":"Int. J. Grid Distrib. Comput."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"69620","DOI":"10.1109\/ACCESS.2018.2878576","article-title":"Fast Defense System Against Attacks in Software Defined Networks","volume":"6","author":"Novaes","year":"2018","journal-title":"IEEE Access"},{"key":"ref_63","first-page":"812","article-title":"Approach in Nonintrusive Type i Load Monitoring Using Subtractive Clustering","volume":"8","author":"Henao","year":"2017","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.future.2015.12.011","article-title":"Optimization of virtual resource management for cloud applications to cope with traffic burst","volume":"58","author":"Zhang","year":"2016","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"106797","DOI":"10.1016\/j.dib.2021.106797","article-title":"Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka","volume":"35","author":"Tee","year":"2021","journal-title":"Data Br."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1007\/s10462-020-09903-9","article-title":"Virtual machine placement in cloud data centers using a hybrid multi-verse optimization algorithm","volume":"54","author":"Gharehpasha","year":"2021","journal-title":"Artif. Intell. Rev."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Amir, M., and Haque, A. (2021, January 24\u201326). Integration of EVs Aggregator with Microgrid and Impact of V2G Power on Peak Regulation. Proceedings of the 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), Kuala Lumpur, Malaysia.","DOI":"10.1109\/GUCON50781.2021.9573619"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.engappai.2017.06.004","article-title":"A simplex method-based social spider optimization algorithm for clustering analysis","volume":"64","author":"Zhou","year":"2017","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1186\/s13638-019-1454-9","article-title":"Virtual machine scheduling strategy based on machine learning algorithms for load balancing","volume":"2019","author":"Sui","year":"2019","journal-title":"Eurasip J. Wirel. Commun. Netw."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"108045","DOI":"10.1016\/j.compeleceng.2022.108045","article-title":"Energy efficient data detection with low complexity for an uplink multi-user massive MIMO system","volume":"101","author":"Hasan","year":"2022","journal-title":"Comput. Electr. Eng."},{"key":"ref_71","unstructured":"Naeem, M., Jamal, T., Diaz-Martinez, J., Butt, S.A., Montesano, N., Tariq, M.I., De-la-Hoz-Franco, E., and De-La-Hoz-Valdiris, E. (2019, January 15\u201318). Trends and future perspective challenges in big data. Proceedings of the Advances in Intelligent Data Analysis and Applications, Arad, Romania."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"107935","DOI":"10.1016\/j.ijepes.2021.107935","article-title":"A configuration method of computing resources for microservice-based edge computing apparatus in smart distribution transformer area","volume":"138","author":"Cen","year":"2022","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_73","first-page":"3169","article-title":"Real-time big data processing framework: Challenges and solutions","volume":"9","author":"Zheng","year":"2015","journal-title":"Appl. Math. Inf. Sci."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"100061","DOI":"10.1016\/j.measen.2021.100061","article-title":"A survey on multisource heterogeneous urban sensor access and data management technologies","volume":"19","author":"Yang","year":"2022","journal-title":"Meas. Sensors"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/J.ENG.2017.04.009","article-title":"Integrated and Intelligent Manufacturing: Perspectives and Enablers","volume":"3","author":"Chen","year":"2017","journal-title":"Engineering"},{"key":"ref_76","first-page":"4","article-title":"How smart, connected products are transforming companies: Interaction","volume":"94","author":"Niden","year":"2016","journal-title":"Harv. Bus. Rev."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.rser.2016.09.025","article-title":"A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems","volume":"67","author":"Nosratabadi","year":"2017","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"2758","DOI":"10.1109\/TIA.2021.3055449","article-title":"Comparison of Peak Power Tracking Based Electric Power System Architectures for CubeSats","volume":"57","author":"Edpuganti","year":"2021","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"100016","DOI":"10.1016\/j.egyai.2020.100016","article-title":"Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems","volume":"1","author":"Wu","year":"2020","journal-title":"Energy AI"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Anusha, P., Shabanabegum, S.K.K., Pavaiyarkarasi, R., Seethalakshmi, E., Vadivukkarasi, K., and Vijayakumar, P. (2021). Smart internet of vehicle maintenance system. Mater. Today Proc.","DOI":"10.1016\/j.matpr.2020.11.303"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"1","DOI":"10.28991\/esj-2020-SP1-01","article-title":"Integration of Next Generation IIoT with Blockchain for the Development of Smart Industries","volume":"4","author":"Iqbal","year":"2020","journal-title":"Emerg. Sci. J."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1109\/TSC.2018.2867482","article-title":"A Double Deep Q-Learning Model for Energy-Efficient Edge Scheduling","volume":"12","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Serv. Comput."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Hasan, M.K., Alkhalifah, A., Islam, S., Babiker, N.B.M., Habib, A.K.M.A., Aman, A.H.M., and Hossain, M.A. (2022). Blockchain Technology on Smart Grid, Energy Trading, and Big Data: Security Issues, Challenges, and Recommendations. Wirel. Commun. Mob. Comput., 2022.","DOI":"10.1155\/2022\/9065768"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Amir, M., Haque, A., Kurukuru, V.S.B., Bakhsh, F., and Ahmad, A. (2022). Agent based online learning approach for power flow control of electric vehicle fast charging station integrated with smart microgrid. IET Renew. Power Gener.","DOI":"10.1049\/rpg2.12508"},{"key":"ref_85","unstructured":"Shariff, S.M., Alam, M.S., Faraz, S., Khan, M.A., Abbas, A., and Amir, M. (2020). Advances in Power and Control Engineering: Proceedings of GUCON, Springer."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Hasan, M.K., Habib, A.K.M.A., Islam, S., Balfaqih, M., Alfawaz, K.M., and Singh, D. (2023). Smart Grid Communication Networks for Electric Vehicles Empowering Distributed Energy Generation: Constraints, Challenges, and Recommendations. Energies, 16.","DOI":"10.3390\/en16031140"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1109\/TPDS.2014.2321378","article-title":"Cloud Computing Applications for Smart Grid: A Survey","volume":"26","author":"Bera","year":"2014","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Cui, B., and He, S. (2016, January 6\u20138). Anomaly detection model based on hadoop platform and weka interface. Proceedings of the 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS, Fukuoka, Japan.","DOI":"10.1109\/IMIS.2016.50"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"100006","DOI":"10.1016\/j.adapen.2020.100006","article-title":"Smart grid encounters edge computing: Opportunities and applications","volume":"1","author":"Feng","year":"2021","journal-title":"Adv. Appl. Energy"},{"key":"ref_90","unstructured":"Narayan, A., Kr\u00fcger, C., G\u00f6ring, A., Babazadeh, D., Harre, M.C., Wortelen, B., Luedtke, A., and Lehnhoff, S. (2019). ETG-Kongress 2019-Das Gesamtsystem im Fokusder Energiewende, VDE."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1016\/j.rser.2016.03.003","article-title":"Microgrid supervisory controllers and energy management systems: A literature review","volume":"60","author":"Meng","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_92","first-page":"40","article-title":"Algorithms and Challenges in Big Data Clustering","volume":"4","author":"Suganya","year":"2018","journal-title":"Int. J. Eng. Tech."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-981-16-6289-8_3","article-title":"Performance Evaluation of Brahmagupta-Bhaskara Equation Based Algorithm Using OpenMP BT","volume":"90","author":"Narayanan","year":"2022","journal-title":"Proc. Data Anal. Manag."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Dafir, Z., Lamari, Y., and Slaoui, S.C. (2021). A Survey on Parallel Clustering Algorithms for Big Data, Springer.","DOI":"10.1007\/s10462-020-09918-2"},{"key":"ref_95","first-page":"815","article-title":"Serial computing vs. parallel computing: A comparative study using MATLAB","volume":"3","author":"Carro","year":"2014","journal-title":"Int. J. Comput. Sci. Mob. Comput."},{"key":"ref_96","first-page":"21","article-title":"Perspective Study and Analysis of Parallel Architecture","volume":"148","author":"Thakur","year":"2016","journal-title":"Int. J. Comput. Appl."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"285","DOI":"10.4208\/cicp.110113.010813a","article-title":"A Survey on Parallel Computing and its Applications in Data-Parallel Problems Using GPU Architectures","volume":"15","author":"Navarro","year":"2014","journal-title":"Commun. Comput. Phys."},{"key":"ref_98","first-page":"772","article-title":"Teaching Parallel Computing Concepts Using Real-Life Applications*","volume":"32","author":"Yazici","year":"2016","journal-title":"Int. J. Eng. Educ."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"2847","DOI":"10.4304\/jsw.8.11.2847-2854","article-title":"Performance Modeling on the Basis of Application Type in Virtualized Environments","volume":"8","author":"Meng","year":"2013","journal-title":"J. Softw."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.ins.2014.01.015","article-title":"Data-intensive applications, challenges, techniques and technologies: A survey on Big Data","volume":"275","author":"Chen","year":"2014","journal-title":"Inf. Sci."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"4242","DOI":"10.1109\/JIOT.2018.2875715","article-title":"Dynamic computation offloading in edge computing for internet of things","volume":"6","author":"Chen","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Ferry, D., Li, J., Mahadevan, M., Agrawal, K., Gill, C., and Lu, C. (2013). A Real-Time Scheduling Service for Parallel Tasks, IEEE.","DOI":"10.1109\/RTAS.2013.6531098"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TPDS.2016.2587645","article-title":"iShuffle: Improving Hadoop Performance with Shuffle-on-Write","volume":"28","author":"Guo","year":"2017","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_104","first-page":"62","article-title":"A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems","volume":"2","author":"Juan","year":"2015","journal-title":"Oper. Res. Perspect."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2019.11.033","article-title":"Parallel computational optimization in operations research: A new integrative framework, literature review and research directions","volume":"287","author":"Schryen","year":"2020","journal-title":"Eur. J. Oper. Res."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"1369","DOI":"10.1109\/TPDS.2011.308","article-title":"A survey of parallel programming models and tools in the multi and many-core era","volume":"23","author":"Diaz","year":"2012","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s13676-013-0026-0","article-title":"GPU computing in discrete optimization. Part I: Introduction to the GPU","volume":"2","author":"Schulz","year":"2013","journal-title":"EURO J. Transp. Logist."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.48084\/etasr.725","article-title":"Application of Hybrid HS and Tabu Search Algorithm for Optimal Location of FACTS Devices to Reduce Power Losses in Power Systems","volume":"6","author":"Zohrabad","year":"2016","journal-title":"Eng. Technol. Appl. Sci. Res."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.apenergy.2016.05.030","article-title":"Adaptive mode switch strategy based on simulated annealing optimization of a multi-mode hybrid energy storage system for electric vehicles","volume":"194","author":"Wang","year":"2017","journal-title":"Appl. Energy"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"10863","DOI":"10.1007\/s00500-021-05776-4","article-title":"A variable neighborhood search algorithm for optimal protection coordination of power systems","volume":"4","author":"Bouchekara","year":"2021","journal-title":"Soft Comput."},{"key":"ref_111","first-page":"85","article-title":"Jobs scheduling within Industry 4.0 with consideration of worker\u2019s fatigue and reliability using Greedy Randomized Adaptive Search Procedure","volume":"52","author":"Demesure","year":"2019","journal-title":"Isc. FAC Pap."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1109\/TCYB.2015.2460261","article-title":"A Survey on GPU-Based Implementation of Swarm Intelligence Algorithms","volume":"46","author":"Tan","year":"2016","journal-title":"IEEE Trans. Cybern."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s11277-016-3893-5","article-title":"Dynamic spectrum allocation scheme for heterogeneous network","volume":"95","author":"Hasan","year":"2017","journal-title":"Wirel. Pers. Commun."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Hadji, S., Gaubert, J., and Krim, F. (2018). Real-Time Genetic Algorithms-Based MPPT: Study and Comparison (Theoretical an Experimental) with Conventional Methods. Energies, 11.","DOI":"10.3390\/en11020459"},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Asgher, U., Rasheed, M.B., Al-Sumaiti, A.S., Rahman, A.U., Ali, I., Alzaidi, A., and Alamri, A. (2018). Smart energy optimization using heuristic algorithm in smart grid with integration of solar energy sources. Energies, 11.","DOI":"10.3390\/en11123494"},{"key":"ref_116","unstructured":"Search, S. (2018). Scatter Search, Springer."},{"key":"ref_117","unstructured":"Crainic, T.G. (2019). Handbook of Metaheuristics, Springer."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"1760004","DOI":"10.1142\/S0218213017600041","article-title":"Exact and Hybrid Solutions for the Multi-Objective VM Reassignment Problem","volume":"26","author":"Saber","year":"2017","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Boyer, V., and El Baz, D. (2013, January 20\u201324). Recent advances on GPU computing in operations research. Proceedings of the 2013 IEEE 27th International Symposium on Parallel & Distributed Processing Workshops and PhD Forum, Cambridge, MA, USA.","DOI":"10.1109\/IPDPSW.2013.45"},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s13676-013-0025-1","article-title":"GPU computing in discrete optimization. Part II: Survey focused on routing problems","volume":"2","author":"Brodtkorb","year":"2013","journal-title":"EURO J. Transp. Logist."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/JPROC.2018.2876372","article-title":"Customizable Computing\u2014From Single Chip to Datacenters","volume":"107","author":"Cong","year":"2019","journal-title":"Proc. IEEE"},{"key":"ref_122","first-page":"1","article-title":"Real-Time load reduction in multimedia big data for mobile internet","volume":"12","author":"Wang","year":"2016","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"5511","DOI":"10.1109\/TWC.2019.2936853","article-title":"Stochastic Asymmetric Blotto Game Approach for Wireless Resource Allocation Strategies","volume":"18","author":"Chien","year":"2019","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1109\/TPDS.2016.2594765","article-title":"Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning","volume":"28","author":"Cheng","year":"2017","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_125","first-page":"1212","article-title":"Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing","volume":"1","author":"Gai","year":"2016","journal-title":"IEEE Trans. Cloud Comput."},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Agron, J., and Andrews, D. (2009, January 22\u201325). Hardware microkernels for heterogeneous manycore systems. Proceedings of the International Conference on Parallel Processing Workshops Hardware, Vienna, Austria.","DOI":"10.1109\/ICPPW.2009.21"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"1678","DOI":"10.1587\/transinf.2015EDL8253","article-title":"Dominant fairness fairness: Hierarchical scheduling for multiple resources in heterogeneous datacenters","volume":"E99D","author":"Wang","year":"2016","journal-title":"IEICE Trans. Inf. Syst."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1007\/s10586-016-0638-x","article-title":"On the role of application and resource characterizations in heterogeneous distributed computing systems","volume":"19","author":"Hwang","year":"2016","journal-title":"Cluster Comput."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"102996","DOI":"10.1016\/j.micpro.2020.102996","article-title":"Appropriate allocation of workloads on performance asymmetric multicore architectures via deep learning algorithms","volume":"73","author":"Gomatheeshwari","year":"2020","journal-title":"Microprocess. Microsyst."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"222977","DOI":"10.1109\/ACCESS.2020.3040083","article-title":"HSIC Bottleneck Based Distributed Deep Learning Model for Load Forecasting in Smart Grid with a Comprehensive Survey","volume":"8","author":"Akhtaruzzaman","year":"2020","journal-title":"IEEE Access"},{"key":"ref_131","doi-asserted-by":"crossref","unstructured":"Gou, C., Benoit, A., and Marchal, L. (2018, January 21\u201323). Memory-aware tree partitioning on homogeneous platforms. Proceedings of the 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Cambridge, UK.","DOI":"10.1109\/PDP2018.2018.00056"},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1109\/TPDS.2018.2853151","article-title":"Recent Advances in Matrix Partitioning for Parallel Computing on Heterogeneous Platforms","volume":"30","author":"Beaumont","year":"2019","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Yin, F., and Shi, F. (2022). A Comparative Survey of Big Data Computing and HPC: From a Parallel Programming Model to a Cluster Architecture, Springer.","DOI":"10.1007\/s10766-021-00717-y"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"100096","DOI":"10.1016\/j.array.2021.100096","article-title":"A comparative study of operational engineering for environmental and compute-intensive applications","volume":"12","author":"Nguyen","year":"2021","journal-title":"Array"},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.micpro.2019.01.009","article-title":"Processing data where it makes sense: Enabling in-memory computation","volume":"67","author":"Mutlu","year":"2019","journal-title":"Microprocess. Microsyst."},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Zheng, X., Mukkamala, R.R., Vatrapu, R., and Ordieres-Mere, J. (2018, January 17\u201320). Blockchain-based personal health data sharing system using cloud storage. Proceedings of the 2018 IEEE 20th international conference on e-health networking, applications and services (Healthcom), Ostrava, Czech Republic.","DOI":"10.1109\/HealthCom.2018.8531125"},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.future.2017.09.073","article-title":"Parallel ant colony optimization on multi-core SIMD CPUs","volume":"79","author":"Zhou","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1016\/j.drudis.2017.01.014","article-title":"Next-generation sequencing: Big data meets high performance computing","volume":"22","author":"Schmidt","year":"2017","journal-title":"Drug Discov. Today"},{"key":"ref_139","first-page":"1617","article-title":"Scalability in Internet of Things: Features, Techniques and Research Challenges","volume":"13","author":"Gupta","year":"2017","journal-title":"Int. J. Comput. Intell. Res."},{"key":"ref_140","doi-asserted-by":"crossref","unstructured":"Xiong, Z., and Xu, K. (2020). Lightweight job submission and file sharing schemes for a teaching ecosystem for parallel computing courses. J. Ambient Intell. Humaniz. Comput.","DOI":"10.1007\/s12652-020-01695-8"},{"key":"ref_141","first-page":"81","article-title":"Cloud Computing Synopsis and Recommendations Recommendations of the National Institute of Standards and Technology","volume":"800","author":"Badger","year":"2012","journal-title":"Nist Spec. Publ."},{"key":"ref_142","first-page":"1","article-title":"NIST Cloud Computing Standards Roadmap","volume":"3","author":"Hogan","year":"2015","journal-title":"Commun. Comput. Inf. Sci."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1007\/s11277-019-06176-6","article-title":"Improving Resources Management in Network Virtualization by Utilizing a Software-Based Network","volume":"106","author":"Javadpour","year":"2019","journal-title":"Wirel. Pers. Commun."},{"key":"ref_144","doi-asserted-by":"crossref","unstructured":"Al-Janabi, S., Al-Shourbaji, I., Shojafar, M., and Abdelhag, M. (2017, January 14\u201316). Mobile Cloud Computing: Challenges and Future Research Directions. Proceedings of the 2017 10th International Conference on Developments in eSystems Engineering (DeSE), Paris, France.","DOI":"10.1109\/DeSE.2017.21"},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.future.2017.04.018","article-title":"CloudStore\u2014towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing","volume":"78","author":"Lehrig","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"e5305","DOI":"10.1002\/cpe.5305","article-title":"Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer","volume":"31","author":"Kurte","year":"2019","journal-title":"Concurr. Comput."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.future.2018.08.015","article-title":"An improved technique for increasing availability in Big Data replication","volume":"91","author":"Kaseb","year":"2019","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1364\/JOCN.10.000902","article-title":"Resource management in cloud and tactile-capable next-generation optical access networks","volume":"10","author":"Neaime","year":"2018","journal-title":"IEEE\/OSA J. Opt. Commun. Netw."},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1109\/LCOMM.2017.2760826","article-title":"On the Need of Joint Bandwidth and NFV Resource Orchestration: A Realistic 5G Access Network Use Case","volume":"22","author":"Khodashenas","year":"2018","journal-title":"IEEE Commun. Lett."},{"key":"ref_150","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1186\/s40537-017-0070-y","article-title":"Big Data management in smart grid: Concepts, requirements and implementation","volume":"4","author":"Daki","year":"2017","journal-title":"J. Big Data"},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"022046","DOI":"10.1088\/1755-1315\/242\/2\/022046","article-title":"Research on Real-Time Database Recovery Method of Smart Grid System Based on IEC61970 Standard","volume":"242","author":"Lin","year":"2019","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_152","doi-asserted-by":"crossref","unstructured":"Santodomingo, R., Uslar, M., Specht, M., Rohjans, S., Taylor, G., Pantea, S., Bradley, M., and McMorran, A. (2016). IEC 61970 for Energy Management System Integration. Smart Grid Handb., 1\u201329.","DOI":"10.1002\/9781118755471.sgd094"},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s10723-017-9409-z","article-title":"COMPSs-Mobile: Parallel Programming for Mobile Cloud Computing","volume":"15","author":"Lordan","year":"2017","journal-title":"J. Grid Comput."},{"key":"ref_154","first-page":"185","article-title":"Cloud computing and big data: A comprehensive analysis","volume":"7","author":"Suseendran","year":"2020","journal-title":"J. Crit. Rev."},{"key":"ref_155","doi-asserted-by":"crossref","unstructured":"Berlian, M.H., Sahputra, T.E.R., Ardi, B.J.W., Dzatmika, L.W., Besari, A.R.A., Sudibyo, R.W., and Sukaridhoto, S. (2016, January 29\u201330). Design and implementation of smart environment monitoring and analytics in real-time system framework based on internet of underwater things and big data. Proceedings of the 2016 International Electronics Symposium (IES) IES 2016, Denpasar, Indonesia.","DOI":"10.1109\/ELECSYM.2016.7861040"},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1109\/JSYST.2014.2323112","article-title":"Adaptive Task Scheduling Strategy Based on Dynamic Workload Adjustment for Heterogeneous Hadoop Clusters","volume":"10","author":"Xu","year":"2016","journal-title":"IEEE Syst. J."},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1109\/TPDS.2016.2587641","article-title":"Moving Hadoop into the Cloud with Flexible Slot Management and Speculative Execution","volume":"28","author":"Guo","year":"2017","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_158","unstructured":"Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J., McCauley, M., Franklin, M.J., Shenker, S., and Stoica, I. (2012, January 25\u201327). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. Proceedings of the 9th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 12), USENIX, San Jose, CA, USA."},{"key":"ref_159","first-page":"8","article-title":"Comparing Apache Spark and Map Reduce with Performance Analysis using K-Means","volume":"113","author":"Gopalani","year":"2015","journal-title":"Int. J. Comput. Appl."},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.engappai.2019.01.006","article-title":"A big data driven distributed density based hesitant fuzzy clustering using Apache spark with application to gene expression microarray","volume":"79","author":"Hosseini","year":"2019","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_161","unstructured":"Liu, X., and Nielsen, P.S. (2016). Regression-based Online Anomaly Detection for Smart Grid Data. arXiv."},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"149","DOI":"10.9728\/dcs.2017.18.1.149","article-title":"Design of a Platform for Collecting and Analyzing Agricultural Big Data","volume":"18","author":"Nguyen","year":"2017","journal-title":"J. Digit. Contents Soc."},{"key":"ref_163","doi-asserted-by":"crossref","unstructured":"Na, C., and Xin, C. (2016, January 17\u201318). The research of large scale data processing platform based on the spark. Proceedings of the 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), Changsha, China.","DOI":"10.1109\/ICITBS.2016.36"},{"key":"ref_164","doi-asserted-by":"crossref","unstructured":"Tan, J., Meng, S., Meng, X., and Zhang, L. (2013, January 14\u201319). Improving ReduceTask data locality for sequential MapReduce jobs. Proceedings of the IEEE INFOCOM, Turin, Italy.","DOI":"10.1109\/INFCOM.2013.6566959"},{"key":"ref_165","doi-asserted-by":"crossref","unstructured":"Niu, S. (2021, January 14\u201316). Research on the application of machine learning big data mining algorithms in digital signal processing. Proceedings of the 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China.","DOI":"10.1109\/IPEC51340.2021.9421229"},{"key":"ref_166","doi-asserted-by":"crossref","unstructured":"Peng, B., Hosseini, M., Hong, Z., Farivar, R., and Campbell, R. (2015, January 7\u201311). R-storm: Resource-aware scheduling in storm. Proceedings of the 16th annual middleware conference, Vancouver, BC, Canada.","DOI":"10.1145\/2814576.2814808"},{"key":"ref_167","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.jss.2017.09.001","article-title":"Task Scheduling in Big Data Platforms: A Systematic Literature Review","volume":"134","author":"Soualhia","year":"2017","journal-title":"J. Syst. Softw."},{"key":"ref_168","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.future.2019.05.027","article-title":"GC-Wise: A Self-adaptive approach for memory-performance efficiency in Java VMs","volume":"100","author":"Esteves","year":"2019","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_169","unstructured":"Bobroff, N., Westerink, P., and Fong, L. (2014, January 18\u201320). Active control of memory for java virtual machines and applications. Proceedings of the 11th International Conference on Autonomic Computing ({ICAC} 14), Philadelphia, PA, USA."},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2187671.2187677","article-title":"Processing flows of information: From data stream to complex event processing","volume":"44","author":"Cugola","year":"2012","journal-title":"ACM Comput. Surv."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jnca.2017.03.007","article-title":"Real-time scheduling based on optimized topology and communication traffic in distributed real-time computation platform of storm","volume":"87","author":"Li","year":"2017","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"312","DOI":"10.4028\/www.scientific.net\/AMR.579.312","article-title":"New remote monitoring and control system architectures based on cloud computing","volume":"579","author":"Cheng","year":"2012","journal-title":"Adv. Mater. Res."},{"key":"ref_173","doi-asserted-by":"crossref","unstructured":"Shetty, S.D., Vadivel, S., and Gandhi, N. (2012, January 8\u201310). A cloud enabled online quiz application deployed on Google cloud. Proceedings of the 2012 International Conference on Cloud Computing Technologies, Applications and Management, ICCCTAM, Dubai, United Arab Emirates.","DOI":"10.1109\/ICCCTAM.2012.6488082"},{"key":"ref_174","doi-asserted-by":"crossref","unstructured":"Rashid, Z.N., Zebari, S.R.M., Sharif, K.H., and Jacksi, K. (2018, January 9\u201311). Distributed Cloud Computing and Distributed Parallel Computing: A Review. Proceedings of the ICOASE 2018-International Conference on Advanced Science and Engineering, Duhok, Iraq.","DOI":"10.1109\/ICOASE.2018.8548937"},{"key":"ref_175","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1007\/s11227-017-2047-1","article-title":"Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model","volume":"75","author":"Yue","year":"2019","journal-title":"J. Supercomput."},{"key":"ref_176","doi-asserted-by":"crossref","first-page":"e5186","DOI":"10.1002\/cpe.5186","article-title":"Applying queue theory for modeling of cloud computing: A systematic review","volume":"31","author":"Rahmani","year":"2019","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_177","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.future.2018.05.038","article-title":"Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing","volume":"88","author":"Cao","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"40","DOI":"10.38094\/jastt1219","article-title":"Comparison Among Cloud Technologies and Cloud Performance","volume":"1","author":"Alzakholi","year":"2020","journal-title":"J. Appl. Sci. Technol. Trends"},{"key":"ref_179","first-page":"21","article-title":"Scheduling in Cloud Computing","volume":"4","author":"Tripathy","year":"2014","journal-title":"Int. J. Cloud Comput. Serv. Archit."},{"key":"ref_180","doi-asserted-by":"crossref","unstructured":"Sobie, R. (2014, January 18). Distributed cloud computing in high energy physics. Proceedings of the 2014 ACM SIGCOMM workshop on Distributed cloud computing, Chicago, IL, USA.","DOI":"10.1145\/2627566.2627578"},{"key":"ref_181","first-page":"2942","article-title":"Semi-Distributed Cloud Computing System with Load Balancing Algorithm","volume":"5","author":"Pawade","year":"2014","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"ref_182","doi-asserted-by":"crossref","unstructured":"Lv, X., Cheng, X., and Lv, Y.X. (2016, January 18\u201322). Distributed cloud storage and parallel topology processing of power network. Proceedings of the 2016 Third International Conference on Trustworthy Systems and their Applications (TSA), Wuhan, China.","DOI":"10.1109\/TSA.2016.33"},{"key":"ref_183","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.future.2017.09.020","article-title":"Next generation cloud computing: New trends and research directions","volume":"79","author":"Varghese","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_184","doi-asserted-by":"crossref","first-page":"012002","DOI":"10.1088\/1742-6596\/910\/1\/012002","article-title":"The Research of the Parallel Computing Development from the Angle of Cloud Computing","volume":"910","author":"Peng","year":"2017","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_185","first-page":"2630","article-title":"Distributed Computing: An Overview","volume":"7","author":"Ali","year":"2015","journal-title":"Int. J. Adv. Netw. Appl."},{"key":"ref_186","doi-asserted-by":"crossref","unstructured":"Kapur, R. (2015, January 20\u201322). A workload balanced approach for resource scheduling in cloud computing. Proceedings of the 2015 8th International Conference on Contemporary Computing (IC3), Noida, India.","DOI":"10.1109\/IC3.2015.7346649"},{"key":"ref_187","first-page":"927","article-title":"Distributed parallel processing of mobile robot PF-slam","volume":"2012","author":"Li","year":"2012","journal-title":"IET Conf. Publ."},{"key":"ref_188","doi-asserted-by":"crossref","unstructured":"Khiyaita, A., El Bakkali, H., Zbakh, M., and Kettani, D. (2012, January 20\u201321). El Load balancing cloud computing: State of art. Proceedings of the 2012 National Days of Network Security and Systems, Marrakech, Morocco.","DOI":"10.1109\/JNS2.2012.6249253"},{"key":"ref_189","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MIC.2018.112101645","article-title":"Distributed Caching in Wireless Cellular Networks Incorporating Parallel Processing","volume":"22","author":"Sun","year":"2018","journal-title":"IEEE Internet Comput."},{"key":"ref_190","first-page":"43","article-title":"Dynamic Load Balancing with Central Monitoring of Distributed Job Processing System","volume":"65","author":"Rao","year":"2013","journal-title":"Int. J. Comput. Appl."},{"key":"ref_191","doi-asserted-by":"crossref","unstructured":"Sharma, A., and Peddoju, S.K. (2014, January 10\u201311). Response time based load balancing in cloud computing. Proceedings of the 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, India.","DOI":"10.1109\/ICCICCT.2014.6993159"},{"key":"ref_192","unstructured":"Chen, H., Wang, F., Helian, N., and Akanmu, G. (2013, January 21\u201323). User-priority guided min-min scheduling algorithm for load balancing in cloud computing. Proceedings of the 2013 National Conference on Parallel Computing Technologies (PARCOMPTECH), Bangalore, India."},{"key":"ref_193","first-page":"3307","article-title":"Simulated Annealing (SA) based Load Balancing Strategy for Cloud Computing","volume":"6","author":"Mondal","year":"2015","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"ref_194","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.jocs.2017.03.017","article-title":"ERECT: Energy-efficient reactive scheduling for real-time tasks in heterogeneous virtualized clouds","volume":"28","author":"Chen","year":"2018","journal-title":"J. Comput. Sci."},{"key":"ref_195","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10796-015-9581-2","article-title":"Optimal scheduling across public and private clouds in complex hybrid cloud environment","volume":"19","author":"Chunlin","year":"2017","journal-title":"Inf. Syst. Front."},{"key":"ref_196","doi-asserted-by":"crossref","unstructured":"Kim, J., and Lee, K. (2019, January 8\u201313). FunctionBench: A suite of workloads for serverless cloud function service. Proceedings of the 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), Milan, Italy.","DOI":"10.1109\/CLOUD.2019.00091"},{"key":"ref_197","first-page":"156","article-title":"Measuring information security and cybersecurity on private cloud computing","volume":"97","author":"Wendy","year":"2019","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"ref_198","unstructured":"Yu, J., Zhao, Y., Zhu, S., Xu, B., Li, S., and Zhang, M. (2018). 2018 3rd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2018), Atlantis Press."},{"key":"ref_199","doi-asserted-by":"crossref","unstructured":"Yu, J., Yang, Z., Zhu, S., Xu, B., Li, S., and Zhang, M. (2018, January 12\u201314). A bibliometric analysis of cloud computing technology research. Proceedings of the 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China.","DOI":"10.1109\/IAEAC.2018.8577750"},{"key":"ref_200","doi-asserted-by":"crossref","unstructured":"Mane, A.S., and Ainapure, B.S. (2021). Private Cloud Configuration Using Amazon Web Services BT-Information and Communication Technology for Competitive Strategies (ICTCS 2020), Springer.","DOI":"10.1007\/978-981-16-0882-7_75"},{"key":"ref_201","doi-asserted-by":"crossref","first-page":"2131","DOI":"10.1109\/TPDS.2017.2657633","article-title":"A Load Balancing and Multi-Tenancy Oriented Data Center Virtualization Framework","volume":"28","author":"Duan","year":"2017","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_202","doi-asserted-by":"crossref","unstructured":"AL-Jumaili, A.H.A., Muniyandi, R.C., Hasan, M.K., Singh, M.J., and Paw, J.K.S. (2022, January 6\u20137). Analytical survey on the security framework of cyber-physical systems for smart power system networks. Proceedings of the 2022 International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates.","DOI":"10.1109\/ICCR56254.2022.9995780"},{"key":"ref_203","doi-asserted-by":"crossref","first-page":"103540","DOI":"10.1016\/j.jnca.2022.103540","article-title":"Review on cyber-physical and cyber-security system in smart grid: Standards, protocols, constraints, and recommendations","volume":"209","author":"Hasan","year":"2022","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_204","doi-asserted-by":"crossref","unstructured":"Satoh, F., Yanagisawa, H., Takahashi, H., and Kushida, T. (2013, January 25\u201327). Total energy management system for Cloud Computing. Proceedings of the 2013 IEEE International Conference on Cloud Engineering (IC2E), San Francisco, CA, USA.","DOI":"10.1109\/IC2E.2013.46"},{"key":"ref_205","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1108\/IMDS-08-2016-0340","article-title":"Enterprise resource planning and customer relationship management value","volume":"117","author":"Ruivo","year":"2017","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_206","first-page":"346","article-title":"Office Automation Sub-Summary of the Work and the Project Management System","volume":"61","author":"Li","year":"2017","journal-title":"Adv. Eng. Res. (AER)"},{"key":"ref_207","doi-asserted-by":"crossref","first-page":"3086854","DOI":"10.1155\/2018\/3086854","article-title":"Tendencies of Technologies and Platforms in Smart Cities: A State-of-the-Art Review","volume":"2018","author":"Chamoso","year":"2018","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_208","doi-asserted-by":"crossref","unstructured":"Alghofaili, Y., Albattah, A., Alrajeh, N., Rassam, M.A., and Al-Rimy, B.A.S. (2021). Secure cloud infrastructure: A survey on issues, current solutions, and open challenges. Appl. Sci., 11.","DOI":"10.3390\/app11199005"},{"key":"ref_209","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1109\/TCE.2012.6414985","article-title":"Intelligent cloud home energy management system using household appliance priority based scheduling based on prediction of renewable energy capability","volume":"58","author":"Byun","year":"2012","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_210","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1016\/j.rser.2016.01.032","article-title":"The contributions of cloud technologies to smart grid","volume":"59","author":"Fang","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_211","doi-asserted-by":"crossref","first-page":"79128","DOI":"10.1109\/ACCESS.2021.3083960","article-title":"Enhancement of Frequency Control for Stand-Alone Multi-Microgrids","volume":"9","author":"Singh","year":"2021","journal-title":"IEEE Access"},{"key":"ref_212","first-page":"1943","article-title":"Optimal Cloud Computing Resource Allocation for Demand Side Management in Smart Grid","volume":"8","author":"Cao","year":"2017","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_213","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fenrg.2022.861282","article-title":"Dynamic Performance Evaluation of Grid-Connected Hybrid Renewable Energy-Based Power Generation for Stability and Power Quality Enhancement in Smart Grid","volume":"10","author":"Amir","year":"2022","journal-title":"Front. Energy Res."},{"key":"ref_214","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.rser.2015.10.036","article-title":"A survey on the critical issues in smart grid technologies","volume":"54","author":"Colak","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.future.2017.03.028","article-title":"A MapReduce-based scalable discovery and indexing of structured big data","volume":"73","author":"Singh","year":"2017","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_216","doi-asserted-by":"crossref","first-page":"13742","DOI":"10.1109\/ACCESS.2017.2725318","article-title":"Storage-Tag-Aware Scheduler for Hadoop Cluster","volume":"5","author":"Qureshi","year":"2017","journal-title":"IEEE Access"},{"key":"ref_217","doi-asserted-by":"crossref","first-page":"102272","DOI":"10.1016\/j.simpat.2021.102272","article-title":"Power system structure optimization based on reinforcement learning and sparse constraints under DoS attacks in cloud environments","volume":"110","author":"Zhu","year":"2021","journal-title":"Simul. Model. Pract. Theory"},{"key":"ref_218","doi-asserted-by":"crossref","first-page":"106366","DOI":"10.1016\/j.ijepes.2020.106366","article-title":"Serverless computing for cloud-based power grid emergency generation dispatch","volume":"124","author":"Zhang","year":"2021","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_219","doi-asserted-by":"crossref","unstructured":"Latif, S.N.A., Chiong, M.S., Rajoo, S., Takada, A., Chun, Y.Y., Tahara, K., and Ikegami, Y. (2021). The trend and status of energy resources and greenhouse gas emissions in the Malaysia power generation mix. Energies, 14.","DOI":"10.3390\/en14082200"},{"key":"ref_220","first-page":"100129","article-title":"Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0","volume":"18","author":"Aceto","year":"2020","journal-title":"J. Ind. Inf. Integr."},{"key":"ref_221","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1080\/08276331.2018.1466850","article-title":"Cloud computing technology: Improving small business performance using the Internet","volume":"31","author":"Attaran","year":"2019","journal-title":"J. Small Bus. Entrep."},{"key":"ref_222","doi-asserted-by":"crossref","first-page":"01068","DOI":"10.1051\/e3sconf\/202132901068","article-title":"Research on power grid operation and maintenance cost based on analysis of internal and external influence factors","volume":"329","author":"Zhang","year":"2021","journal-title":"E3S Web Conf."},{"key":"ref_223","unstructured":"(2019). Real-Time Monitoring of a Solar Charge Controller for Stand-Alone Photovoltaic Systems. Int. J. Recent Technol. Eng., 8, 6295\u20136300."},{"key":"ref_224","first-page":"5014","article-title":"Adversarially robust generalization requires more data","volume":"31","author":"Schmidt","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_225","doi-asserted-by":"crossref","unstructured":"Vabalas, A., Gowen, E., Poliakoff, E., and Casson, A.J. (2019). Machine learning algorithm validation with a limited sample size. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0224365"},{"key":"ref_226","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/s11265-019-01474-5","article-title":"A Global Data Model for Electric Power Data Centers","volume":"93","author":"Wang","year":"2021","journal-title":"J. Signal Process. Syst."},{"key":"ref_227","doi-asserted-by":"crossref","unstructured":"Huang, L., Zhuang, W., Sun, M., and Zhang, H. (2020, January 12\u201314). Research and application of microservice in power grid dispatching control system. Proceedings of the 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chongqing, China.","DOI":"10.1109\/ITNEC48623.2020.9084931"},{"key":"ref_228","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.future.2017.08.047","article-title":"Government affairs service platform for smart city","volume":"81","author":"Lv","year":"2018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"ref_229","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.apenergy.2017.12.051","article-title":"Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks","volume":"212","author":"Rahman","year":"2018","journal-title":"Appl. Energy"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/2952\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:51:17Z","timestamp":1760122277000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/6\/2952"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,8]]},"references-count":229,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["s23062952"],"URL":"https:\/\/doi.org\/10.3390\/s23062952","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,8]]}}}