{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T09:29:59Z","timestamp":1777714199080,"version":"3.51.4"},"reference-count":44,"publisher":"Elsevier","isbn-type":[{"value":"9780443289477","type":"print"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/b978-0-443-28947-7.00012-4","type":"book-chapter","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T12:34:54Z","timestamp":1727786094000},"page":"223-239","source":"Crossref","is-referenced-by-count":4,"title":["Energy storage using computer vision: control and optimization of energy storage"],"prefix":"10.1016","author":[{"given":"Harpreet Kaur","family":"Channi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pulkit","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramandeep","family":"Sandhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fathy A.","family":"Syam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib46","doi-asserted-by":"crossref","first-page":"117002","DOI":"10.1016\/j.mseb.2023.117002","article-title":"Insight into two-dimensional black phosphorus: An emerging energy storage material","volume":"299","author":"Akram","year":"2024","journal-title":"Materials Science and Engineering: B"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib41","doi-asserted-by":"crossref","first-page":"101709","DOI":"10.1016\/j.rineng.2023.101709","article-title":"Early prediction of battery degradation in grid-scale battery energy storage system using extreme gradient boosting algorithm","volume":"21","author":"Apribowo","year":"2024","journal-title":"Results in Engineering"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib42","series-title":"Artificial intelligence and machine learning techniques in image processing and computer vision","year":"2024"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib7","doi-asserted-by":"crossref","first-page":"117655","DOI":"10.1016\/j.trac.2024.117655","article-title":"Exploring advanced materials: Harnessing the synergy of inverse gas chromatography and artificial vision intelligence","author":"Basivi","year":"2024","journal-title":"TrAC Trends in Analytical Chemistry"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib34","unstructured":"Chen, W., Li, Y., & Tian, Y. (2024). CarbonNet: How computer vision plays a role in climate change? Application: Learning geomechanics from subsurface geometry of ccs to mitigate global warming. arXiv preprint arXiv:2403.06025."},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib13","doi-asserted-by":"crossref","first-page":"2169","DOI":"10.1109\/ACCESS.2024.3352018","article-title":"Survey of strategies to optimize battery operation to minimize the electricity cost in a microgrid with renewable energy sources and electric vehicles","volume":"12","author":"Colucci","year":"2024","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/B978-0-443-28947-7.00012-4_bib12","doi-asserted-by":"crossref","first-page":"49","DOI":"10.59298\/IAAJAS\/2024\/6.68.39.34","article-title":"Advanced modeling approaches for latent heat thermal energy storage systems","volume":"11","author":"Eze","year":"2024","journal-title":"IAA Journal of Applied Sciences"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib21","article-title":"Real-time hand gesture recognition based on multi-connect architecture associative memory in human computer interaction","volume":"3036","author":"Fadel","year":"2024"},{"issue":"1\u20132","key":"10.1016\/B978-0-443-28947-7.00012-4_bib11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1504\/IJGEI.2024.135253","article-title":"Computer image processing and recognition technology under the background of new energy digitisation","volume":"46","author":"Feng","year":"2024","journal-title":"International Journal of Global Energy Issues"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib6","first-page":"1","article-title":"An optimization model for sizing a concentrated solar power system with thermal energy storage","author":"Ghaithan","year":"2024","journal-title":"Energy Systems"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib10","doi-asserted-by":"crossref","DOI":"10.1109\/TEMPR.2023.3349134","article-title":"Economic value of energy storage systems: The influence of ownership structures","author":"Gu","year":"2024","journal-title":"IEEE Transactions on Energy Markets, Policy and Regulation"},{"issue":"4","key":"10.1016\/B978-0-443-28947-7.00012-4_bib37","doi-asserted-by":"crossref","first-page":"2306090","DOI":"10.1002\/adma.202306090","article-title":"Flexible energy storage devices to power the future","volume":"36","author":"He","year":"2024","journal-title":"Advanced Materials"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib48","unstructured":"https:\/\/www.iea.org\/energy-system\/electricity\/grid-scale-storage. Accessed March 22, 2024."},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib25","doi-asserted-by":"crossref","first-page":"100313","DOI":"10.1016\/j.egyai.2023.100313","article-title":"Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents","volume":"15","author":"Hussain","year":"2024","journal-title":"Energy and AI"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib19","series-title":"Computer vision and AI-integrated IoT technologies in the medical ecosystem","year":"2024"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib27","doi-asserted-by":"crossref","first-page":"110354","DOI":"10.1016\/j.est.2023.110354","article-title":"Unraveling quantum capacitance in supercapacitors: Energy storage applications","volume":"81","author":"Kolavada","year":"2024","journal-title":"Journal of Energy Storage"},{"issue":"6","key":"10.1016\/B978-0-443-28947-7.00012-4_bib43","doi-asserted-by":"crossref","first-page":"1426","DOI":"10.3390\/en17061426","article-title":"Cooperative application of onboard energy storage and stationary energy storage in rail transit based on genetic algorithm","volume":"17","author":"Kong","year":"2024","journal-title":"Energies"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib40","doi-asserted-by":"crossref","first-page":"109933","DOI":"10.1016\/j.dib.2023.109933","article-title":"EEG dataset for energy data visualizations","volume":"52","author":"Kucukler","year":"2024","journal-title":"Data in Brief"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib17","doi-asserted-by":"crossref","first-page":"105227","DOI":"10.1016\/j.autcon.2023.105227","article-title":"Advancing construction site workforce safety monitoring through BIM and computer vision integration","volume":"158","author":"Kulinan","year":"2024","journal-title":"Automation in Construction"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib44","doi-asserted-by":"crossref","first-page":"111119","DOI":"10.1016\/j.est.2024.111119","article-title":"The landscape of energy storage: Insights into carbon electrode materials and future directions","volume":"86","author":"Kumar","year":"2024","journal-title":"Journal of Energy Storage"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib50","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.wasman.2024.01.003","article-title":"Energy utilization of agricultural waste: Machine learning prediction and pyrolysis transformation","volume":"175","author":"Li","year":"2024","journal-title":"Waste Management"},{"issue":"4","key":"10.1016\/B978-0-443-28947-7.00012-4_bib47","doi-asserted-by":"crossref","first-page":"3010","DOI":"10.1002\/pc.27966","article-title":"Effects of heat treatment on the dielectric and energy storage properties of BT-PVDF nanocomposite films","volume":"45","author":"Li","year":"2024","journal-title":"Polymer Composites"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib49","doi-asserted-by":"crossref","first-page":"130915","DOI":"10.1016\/j.energy.2024.130915","article-title":"Thermal performance of an aquifer thermal energy storage system: Insights from novel multilateral wells","author":"Li","year":"2024","journal-title":"Energy"},{"issue":"1","key":"10.1016\/B978-0-443-28947-7.00012-4_bib4","doi-asserted-by":"crossref","first-page":"5661","DOI":"10.1038\/s41598-024-55988-5","article-title":"Sustainable power management in light electric vehicles with hybrid energy storage and machine learning control","volume":"14","author":"Punyavathi","year":"2024","journal-title":"Scientific Reports"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib36","doi-asserted-by":"crossref","first-page":"102525","DOI":"10.1016\/j.tsep.2024.102525","article-title":"Improving the performance of heat sinks through the integration of fins and the utilization of graphene-mixed latent heat energy storage","author":"Rajasekaran","year":"2024","journal-title":"Thermal Science and Engineering Progress"},{"issue":"1","key":"10.1016\/B978-0-443-28947-7.00012-4_bib20","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s40745-022-00412-w","article-title":"Deep neural network (DNN) mechanism for identification of diseased and healthy plant leaf images using computer vision","volume":"11","author":"Reddy","year":"2024","journal-title":"Annals of Data Science"},{"issue":"5","key":"10.1016\/B978-0-443-28947-7.00012-4_bib9","doi-asserted-by":"crossref","DOI":"10.1061\/JSENDH.STENG-13144","article-title":"Seismic-response assessment of multiblock tower structures for energy storage: 1\/25 scale","volume":"150","author":"Rodriguez-Burneo","year":"2024","journal-title":"Journal of Structural Engineering"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib38","doi-asserted-by":"crossref","first-page":"108847","DOI":"10.1016\/j.jqsrt.2023.108847","article-title":"Unifying radiative transfer models in computer graphics and remote sensing, Part I: A survey","volume":"314","author":"Salesin","year":"2024","journal-title":"Journal of Quantitative Spectroscopy and Radiative Transfer"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib1","doi-asserted-by":"crossref","DOI":"10.1177\/10468781241232594","article-title":"Personnel training for common facility management issues in thermal-energy-storage chiller plant using a serious 3D game","author":"Sanzana","year":"2024","journal-title":"Simulation & Gaming"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib3","doi-asserted-by":"crossref","first-page":"215565","DOI":"10.1016\/j.ccr.2023.215565","article-title":"Mxenes for Zn-based energy storage devices: Nano-engineering and machine learning","volume":"501","author":"Shah","year":"2024","journal-title":"Coordination chemistry reviews"},{"issue":"1","key":"10.1016\/B978-0-443-28947-7.00012-4_bib26","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1039\/D3TA05975H","article-title":"Utilizing the synergistic effect between the Schottky barrier and field redistribution to achieve high-density, low-consumption, cellulose-based flexible dielectric films for next-generation green energy storage capacitors","volume":"12","author":"Sun","year":"2024","journal-title":"Journal of Materials Chemistry A"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib35","doi-asserted-by":"crossref","first-page":"113852","DOI":"10.1016\/j.enbuild.2023.113852","article-title":"Techno-economic feasibility of stand-alone hybrid energy system with battery storage in educational buildings: A case study of Uttara University","volume":"304","author":"Sunny","year":"2024","journal-title":"Energy and Buildings"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib31","article-title":"Nb2CT x MXene\/delignified wood\u2013supported phase-change composites with desirable photothermal conversion efficiency and enhanced flame retardancy for solar\u2013thermal energy storage","author":"Tang","year":"2024","journal-title":"ACS Applied Energy Materials"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib2","doi-asserted-by":"crossref","first-page":"113978","DOI":"10.1016\/j.rser.2023.113978","article-title":"A critical review on inconsistency mechanism, evaluation methods and improvement measures for lithium-ion battery energy storage systems","volume":"189","author":"Tian","year":"2024","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib45","first-page":"1","article-title":"Deep learning based computer vision under the prism of 3D point clouds: A systematic review","author":"Tychola","year":"2024","journal-title":"The Visual Computer"},{"issue":"4","key":"10.1016\/B978-0-443-28947-7.00012-4_bib14","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.3390\/app14041471","article-title":"Machine vision\u2014Moving from Industry 4.0 to Industry 5.0","volume":"14","author":"Tzampazaki","year":"2024","journal-title":"Applied Sciences"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib23","doi-asserted-by":"crossref","first-page":"114165","DOI":"10.1016\/j.rser.2023.114165","article-title":"Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review","volume":"192","author":"Wang","year":"2024","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib15","first-page":"1","article-title":"A novel recycling method using machine vision to assist in the processing of stacked waste fans","author":"Wang","year":"2024","journal-title":"Journal of Material Cycles and Waste Management"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib5","article-title":"Computation-efficient deep learning for computer vision: A survey","author":"Wang","year":"2024","journal-title":"Cybernetics and Intelligence"},{"issue":"3","key":"10.1016\/B978-0-443-28947-7.00012-4_bib28","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.3390\/app14031188","article-title":"Dynamic energy management strategy of a solar-and-energy storage-integrated smart charging station","volume":"14","author":"Wu","year":"2024","journal-title":"Applied Sciences"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib30","doi-asserted-by":"crossref","first-page":"105258","DOI":"10.1016\/j.autcon.2023.105258","article-title":"Computer vision based first floor elevation estimation from mobile LiDAR data","volume":"159","author":"Xia","year":"2024","journal-title":"Automation in Construction"},{"issue":"2","key":"10.1016\/B978-0-443-28947-7.00012-4_bib33","doi-asserted-by":"crossref","first-page":"75","DOI":"10.23919\/PCMP.2023.000234","article-title":"Critical review on improved electrochemical impedance spectroscopy-Cuckoo search-Elman Neural Network modeling methods for whole-life-cycle health state estimation of lithium-ion battery energy storage systems","volume":"9","author":"Xiong","year":"2024","journal-title":"Protection and Control of Modern Power Systems"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib8","doi-asserted-by":"crossref","first-page":"2312481","DOI":"10.1002\/adfm.202312481","article-title":"Graphene-assisting nonvolatile vanadium dioxide phase transition for neuromorphic machine vision","author":"Yu","year":"2024","journal-title":"Advanced Functional Materials"},{"key":"10.1016\/B978-0-443-28947-7.00012-4_bib18","doi-asserted-by":"crossref","first-page":"101142","DOI":"10.1016\/j.pecs.2023.101142","article-title":"Battery safety: Machine learning-based prognostics","volume":"102","author":"Zhao","year":"2024","journal-title":"Progress in Energy and Combustion Science"}],"container-title":["Computer Vision and Machine Intelligence for Renewable Energy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780443289477000124?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780443289477000124?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T16:22:16Z","timestamp":1757694136000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780443289477000124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9780443289477"],"references-count":44,"URL":"https:\/\/doi.org\/10.1016\/b978-0-443-28947-7.00012-4","relation":{},"subject":[],"published":{"date-parts":[[2025]]}}}