{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T10:06:47Z","timestamp":1784887607699,"version":"3.55.0"},"reference-count":64,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,1,2]],"date-time":"2022-01-02T00:00:00Z","timestamp":1641081600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners and the public alike to improve the adoption of EVs. Two major problems comprising this research area are: (i) the EV charging station placement (EVCSP) problem, and (ii) the CS need estimation problem for a region. In this work, different explainable solutions based on machine learning (ML) and simulation were investigated by incorporating quantitative and qualitative metrics. The solutions were compared with traditional approaches using a real CS area of Austin and a greenfield area of Bengaluru. For EVCSP, a different class of clustering solutions, i.e., mean-based, density-based, spectrum- or eigenvalues-based, and Gaussian distribution were evaluated. Different perspectives, such as the urban planner perspective, i.e., the clustering efficiency, and the EV owner perspective, i.e., an acceptable distance to the nearest CS, were considered. For the CS need estimation, ML solutions based on quadratic regression and simulations were evaluated. Using our CS planning methods urban planners can make better CS placement decisions and can estimate CS needs for the present and the future.<\/jats:p>","DOI":"10.3390\/systems10010006","type":"journal-article","created":{"date-parts":[[2022,1,9]],"date-time":"2022-01-09T23:35:09Z","timestamp":1641771309000},"page":"6","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Charging Station Planning for Electric Vehicles"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5021-9121","authenticated-orcid":false,"given":"Arun Kumar","family":"Kalakanti","sequence":"first","affiliation":[{"name":"Toshiba Software (India) Pvt. Ltd., Bengaluru 560034, India"},{"name":"International Institute of Information Technology Bangalore, Bengaluru 560100, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0625-5103","authenticated-orcid":false,"given":"Shrisha","family":"Rao","sequence":"additional","affiliation":[{"name":"International Institute of Information Technology Bangalore, Bengaluru 560100, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/TTE.2017.2753403","article-title":"Smart Charging Strategy for Electric Vehicle Charging Stations","volume":"4","author":"Moghaddam","year":"2018","journal-title":"IEEE Trans. Transport. Electrific."},{"key":"ref_2","unstructured":"Agency, I.E. (2021, March 30). Global EV Outlook 2019. Available online: https:\/\/webstore.iea.org\/global-ev-outlook-2019."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Aljaidi, M., Aslam, N., and Kaiwartya, O. (2019, January 9\u201311). Optimal Placement and Capacity of Electric Vehicle Charging Stations in Urban Areas: Survey and Open Challenges. Proceedings of the 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), Amman, Jordan.","DOI":"10.1109\/JEEIT.2019.8717412"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Luo, C., Huang, Y.F., and Gupta, V. (2015). Placement of EV Charging Stations\u2013Balancing Benefits Among Multiple Entities. IEEE Trans. Smart Grid, 1\u201310.","DOI":"10.1109\/TSG.2015.2508740"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ejaz, W., Naeem, M., Ramzan, M.R., Iqbal, F., and Anpalagan, A. (2017, January 22\u201324). Charging infrastructure placement for electric vehicles: An optimization prospective. Proceedings of the 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), Melbourne, VIC, Australia.","DOI":"10.1109\/ATNAC.2017.8215427"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Aljaidi, M., Aslam, N., Chen, X., Kaiwartya, O., and Al-Gumaei, Y.A. (2020, January 18\u201321). Energy-efficient EV Charging Station Placement for E-Mobility. Proceedings of the IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore.","DOI":"10.1109\/IECON43393.2020.9255254"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4190","DOI":"10.1109\/TSG.2020.2984037","article-title":"A Graph Automorphic Approach for Placement and Sizing of Charging Stations in EV Network Considering Traffic","volume":"11","author":"Parastvand","year":"2020","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2846","DOI":"10.1109\/TSG.2014.2344684","article-title":"Electric Vehicle Charging Station Placement: Formulation, Complexity, and Solutions","volume":"5","author":"Lam","year":"2014","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2493","DOI":"10.1109\/TITS.2017.2754382","article-title":"Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework","volume":"19","author":"Xiong","year":"2018","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2096","DOI":"10.1109\/TSG.2017.2788440","article-title":"Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation","volume":"10","author":"Yan","year":"2018","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Bendiabdellah, Z., Senouci, S.M., and Feham, M. (2014, January 15\u201319). A hybrid algorithm for planning public charging stations. Proceedings of the 2014 Global Information Infrastructure and Networking Symposium (GIIS), Montreal, QC, Canada.","DOI":"10.1109\/GIIS.2014.6934262"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Richard, R., Cao, H., and Wachowicz, M. (October, January 28). Discovering EV Recharging Patterns through an Automated Analytical Workflow. Proceedings of the 2020 IEEE International Smart Cities Conference (ISC2), Piscataway, NJ, USA.","DOI":"10.1109\/ISC251055.2020.9239052"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1016\/j.trpro.2019.07.219","article-title":"Preprocessing of GIS data for electric vehicle charging stations analysis and evaluation of the predictors significance","volume":"40","author":"Straka","year":"2019","journal-title":"Transp. Res. Procedia"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Shukla, A., Verma, K., and Kumar, R. (2016, January 19\u201321). Consumer perspective based placement of electric vehicle charging stations by clustering techniques. Proceedings of the 2016 National Power Systems Conference (NPSC), Bhubaneswar, India.","DOI":"10.1109\/NPSC.2016.7858946"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Varga, B.O., Sagoian, A., and Mariasiu, F. (2019). Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges. Energies, 12.","DOI":"10.3390\/en12050946"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1109\/TSTE.2019.2915383","article-title":"Active Distribution System Reinforcement Planning With EV Charging Stations\u2013Part II: Numerical Results","volume":"11","author":"Ehsan","year":"2020","journal-title":"IEEE Trans. Sustain. Energy"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"100270","DOI":"10.1109\/ACCESS.2019.2931055","article-title":"Charging Station Placement for Electric Vehicles: A Case Study of Guwahati City, India","volume":"7","author":"Deb","year":"2019","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Bi, R., Xiao, J., Pelzer, D., Ciechanowicz, D., Eckhoff, D., and Knoll, A. (2017, January 16\u201319). A simulation-based heuristic for city-scale electric vehicle charging station placement. Proceedings of the 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan.","DOI":"10.1109\/ITSC.2017.8317680"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"6552","DOI":"10.1109\/TSG.2019.2907262","article-title":"Electric Vehicle Charging Station Placement Method for Urban Areas","volume":"10","author":"Cui","year":"2019","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Uchida, H., Fujii, H., and Yoshimura, S. (2019, January 27\u201330). Combinatorial Optimal Location Design of Charging Stations based on Multi-agent Simulation. Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand.","DOI":"10.1109\/ITSC.2019.8917400"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"118593","DOI":"10.1109\/ACCESS.2020.3005677","article-title":"Robust Placement and Sizing of Charging Stations From a Novel Graph Theoretic Perspective","volume":"8","author":"Parastvand","year":"2020","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Luo, C., Huang, Y.F., and Gupta, V. (2015, January 11\u201314). A Consumer Behavior Based Approach to Multi-Stage EV Charging Station Placement. Proceedings of the 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, UK.","DOI":"10.1109\/VTCSpring.2015.7145593"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tayyab, M., Helm, S., Hauer, I., Brinken, J., and Schmidtke, N. (2020, January 5\u201312). Infrastructure linking for placement of Charging stations using Monte Carlo simulation. Proceedings of the 2020 6th IEEE Congress on Information Science and Technology (CiSt), Essaouira, Morocco.","DOI":"10.1109\/CiSt49399.2021.9357172"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Kalakanti, A.K., and Rao, S. (2022). A Hybrid Cooperative Method With L\u00e9vy Flights for Electric Vehicle Charge Scheduling. IEEE Trans. Intell. Transp. Syst., 1\u201316. in press.","DOI":"10.1109\/TITS.2021.3127352"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1109\/TPWRD.2012.2223489","article-title":"Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems","volume":"28","author":"Liu","year":"2013","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Song, L., Wang, J., and Yang, D. (2015, January 8\u201310). Optimal placement of electric vehicle charging stations based on Voronoi diagram. Proceedings of the 2015 IEEE International Conference on Information and Automation, Lijiang, China.","DOI":"10.1109\/ICInfA.2015.7279764"},{"key":"ref_27","unstructured":"Ip, A., Fong, S., and Liu, E. (December, January 30). Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering. Proceedings of the 2010 6th International Conference on Advanced Information Management and Service (IMS), Seoul, Korea."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Mehar, S., and Senouci, S.M. (2013, January 17\u201319). An optimization location scheme for electric charging stations. Proceedings of the 2013 International Conference on Smart Communications in Network Technologies (SaCoNeT), Paris, France.","DOI":"10.1109\/SaCoNeT.2013.6654565"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Dait, W., Lit, Y., Gan, X., and Xie, G. (2018, January 9\u201313). Fast Charging Station Placement with Elastic Demand. Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8647556"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Singh, C., Deb, S., Alam, M.S., and Rafat, Y. (2020, January 1\u20133). Analytical Strategy for Deployment of EV Fast-Charging Stations. Proceedings of the 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, India.","DOI":"10.1109\/ICRAIE51050.2020.9358378"},{"key":"ref_31","unstructured":"Su, C.L., Leou, R.C., Yang, J.C., and Lu, C.N. (2013, January 10\u201313). Optimal electric vehicle charging stations placement in distribution systems. Proceedings of the IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Hidalgo, P.A.L., Ostendorp, M., and Lienkamp, M. (2016, January 4\u20138). Optimizing the charging station placement by considering the user\u2019s charging behavior. Proceedings of the 2016 IEEE International Energy Conference (ENERGYCON), Leuven, Belgium.","DOI":"10.1109\/ENERGYCON.2016.7513920"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Dong, Y., Qian, S., Liu, J., Zhang, L., and Zhang, K. (June, January 30). Optimal placement of charging stations for electric taxis in urban area with profit maximization. Proceedings of the 2016 17th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD), Shanghai, China.","DOI":"10.1109\/SNPD.2016.7515897"},{"key":"ref_34","unstructured":"Bae, S., Jang, I., Gros, S., Kulcsar, B., and Hellgren, J. (2020). A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness. IEEE Trans. Intell. Transp. Syst., 1\u201316. in press."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Sadhukhan, A., Sivasubramani, S., and Ahmad, M.S. (2019, January 20\u201322). Optimal Placement of Electric Vehicle Charging Stations in a Distribution Network. Proceedings of the 2019 8th International Conference on Power Systems (ICPS), Jaipur, India.","DOI":"10.1109\/ICPS48983.2019.9067670"},{"key":"ref_36","first-page":"45","article-title":"Optimal Zonal Fast Charging Station Placement Considering Urban Traffic Circulation","volume":"66","year":"2016","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_37","unstructured":"Phonrattanasak, P., and Leeprechanon, N. (2014, January 19\u201321). Optimal placement of EV fast charging stations considering the impact on electrical distribution and traffic condition. Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE), Pattaya, Thailand."},{"key":"ref_38","first-page":"92573","article-title":"A Hybrid Multi-Objective Chicken Swarm Optimization and Teaching Learning Based Algorithm for Charging Station Placement Problem","volume":"8","author":"Deb","year":"2020","journal-title":"IEEE Access"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Kongjeen, Y., Yenchamchalit, K., and Bhumkittipich, K. (2018, January 20\u201324). Optimal Sizing and Placement of Solar Powered Charging Station under EV loads Penetration using Artificial Bee Colony Technique. Proceedings of the 2018 International Power Electronics Conference (IPEC-Niigata 2018-ECCE Asia), Niigata, Japan.","DOI":"10.23919\/IPEC.2018.8508028"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Islam, M.M., Mohamed, A., and Shareef, H. (2015, January 13\u201314). Optimal allocation of rapid charging stations for electric vehicles. Proceedings of the 2015 IEEE Student Conference on Research and Development (SCOReD), Kuala Lumpur, Malaysia.","DOI":"10.1109\/SCORED.2015.7449360"},{"key":"ref_41","unstructured":"Prasomthong, J., Ongsakul, W., and Meyer, J. (2014, January 19\u201321). Optimal placement of vehicle-to-grid charging station in distribution system using Particle Swarm Optimization with time varying acceleration coefficient. Proceedings of the 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE), Pattaya, Thailand."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","article-title":"Least squares quantization in PCM","volume":"28","author":"Lloyd","year":"1982","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_43","unstructured":"Ng, A.Y., Jordan, M.I., and Weiss, Y. (2001). On Spectral Clustering: Analysis and an Algorithm, MIT Press."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Ankerst, M., Breunig, M.M., Kriegel, H.P., and Sander, J. (1999). OPTICS: Ordering Points To Identify the Clustering Structure, ACM Press.","DOI":"10.1145\/304182.304187"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Am\u00e9ndola, C., Faug\u00e8re, J.C., and Sturmfels, B. (2015). Moment Varieties of Gaussian Mixtures. arXiv.","DOI":"10.18409\/jas.v7i1.42"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, Z., Xiong, H., Gao, X., and Wu, J. (2010, January 13\u201317). Understanding of Internal Clustering Validation Measures. Proceedings of the 2010 IEEE International Conference on Data Mining, Sydney, NSW, Australia.","DOI":"10.1109\/ICDM.2010.35"},{"key":"ref_47","unstructured":"(2021, July 30). Clustering Scores. Available online: https:\/\/scikit-learn.org\/stable\/modules\/clustering.html#clustering-performance-evaluation."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: A graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"ref_49","first-page":"1","article-title":"A dendrite method for cluster analysis","volume":"3","author":"Harabasz","year":"1974","journal-title":"Commun. Stat."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","article-title":"A Cluster Separation Measure","volume":"PAMI-1","author":"Davies","year":"1979","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_51","unstructured":"Liu, W.L., Gong, Y.J., Chen, W.N., Liu, Z., Wang, H., and Zhang, J. (2019). Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach. IEEE Trans. Intell. Transp. Syst., 1\u201316."},{"key":"ref_52","first-page":"20170879","article-title":"A systematic mixed-integer differential evolution approach for water network operational optimization","volume":"474","author":"Zhao","year":"2018","journal-title":"Proc. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1109\/TITS.2013.2286266","article-title":"Stochastic Park-and-Charge Balancing for Fully Electric and Plug-in Hybrid Vehicles","volume":"15","author":"Hausler","year":"2014","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_54","unstructured":"(2021, July 30). Austin Charging Station Network, Available online: https:\/\/data.austintexas.gov\/Utilities-and-City-Services\/Plug-In-EVerywhere-Charging-Station-Network\/k5hp-eece\/data."},{"key":"ref_55","unstructured":"(2021, July 30). Austin Census 2020, Available online: https:\/\/www.census.gov\/quickfacts\/fact\/table\/austincitytexas\/LND110210."},{"key":"ref_56","unstructured":"(2021, July 30). Bengaluru Census 2020. Available online: https:\/\/opencity.in\/data\/bangalore-district-demographic-profile."},{"key":"ref_57","unstructured":"(2021, July 30). EV Database with Range of Full Electric Vehicles. Available online: https:\/\/ev-database.org\/cheatsheet\/range-electric-car."},{"key":"ref_58","unstructured":"(2021, July 30). Tata Motors Stands by ARAI-Certified 312 km Range for Nexon EV. Available online: https:\/\/www.autocarpro.in\/news-national\/tata-motors-stands-by-araicertified-312km-range-for-nexon-ev-78626."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.trc.2017.12.017","article-title":"Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA","volume":"87","author":"Hu","year":"2018","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.trd.2016.08.037","article-title":"Predicting market potential and environmental benefits of deploying electric taxis in Nanjing, China","volume":"49","author":"Yang","year":"2016","journal-title":"Transp. Res. Part Transp. Environ."},{"key":"ref_61","unstructured":"Nicholas, M., and Hall, D. (2021, October 15). Advanced Plug-in Electric Vehicle Travel and Charging Behavior Interim Report. Available online: https:\/\/phev.ucdavis.edu\/wp-content\/uploads\/2017\/08\/25.-Advanced-Plug-in-Electric-Vehicle-Travel-and-Charging-Behavior-Interim-Report-.pdf."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Lam, A., Leung, Y.W., and Chu, X. (2013, January 21\u201324). Electric vehicle charging station placement. Proceedings of the 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm), Vancouver, BC, Canada.","DOI":"10.1109\/SmartGridComm.2013.6688009"},{"key":"ref_63","unstructured":"Nicholas, M., and Hall, D. (2021, October 15). Lessons Learned on Early Electric Vehicle Fast-Charging Deployments. Available online: https:\/\/www.theicct.org\/sites\/default\/files\/publications\/ZEV_fast_charging_white_paper_final.pdf."},{"key":"ref_64","unstructured":"Wardle, J., Bramich, A., Neaimeh, M., Serradilla, J., Pinna, C., Hill, G., Guo, W., and Blythe, P. (2015). Rapid Charge Network: Breaking down the Barriers to Longer Distance Electric Driving, European Battery, Hybrid and Fuel Cell Electric Vehicle Congress (EEVC-2015). Available online: https:\/\/eprints.ncl.ac.uk\/225837."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/10\/1\/6\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T14:12:30Z","timestamp":1760364750000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/10\/1\/6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,2]]},"references-count":64,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["systems10010006"],"URL":"https:\/\/doi.org\/10.3390\/systems10010006","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,2]]}}}