A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learning

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dc.authoridHoang, Anh Tuan/0000-0002-1767-8040en_US
dc.authoridSoudagar, Manzoore Elahi M./0000-0002-0935-2040en_US
dc.authoridNIKAM, KEVAL/0000-0003-2628-9781en_US
dc.authoridJathar, Laxmikant/0000-0002-5755-9820en_US
dc.authoridShahapurkar, Kiran/0000-0002-6089-2616en_US
dc.authorscopusid57218476565en_US
dc.authorscopusid57204728700en_US
dc.authorscopusid56613474000en_US
dc.authorscopusid57190843753en_US
dc.authorscopusid57192718642en_US
dc.authorscopusid57196344622en_US
dc.authorscopusid57194384501en_US
dc.authorwosidHoang, Anh Tuan/C-4780-2019en_US
dc.authorwosidSoudagar, Manzoore Elahi M./R-4943-2019en_US
dc.contributor.authorJathar, Laxmikant D.
dc.contributor.authorNikam, Keval
dc.contributor.authorV. Awasarmol, Umesh
dc.contributor.authorGurav, Raviraj
dc.contributor.authorPatil, Jitendra D.
dc.contributor.authorShahapurkar, Kiran
dc.contributor.authorSoudagar, Manzoore Elahi M.
dc.date.accessioned2024-08-23T16:04:45Z
dc.date.available2024-08-23T16:04:45Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIntegration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence (AI) combined with Machine Learning (ML) has introduced a new era of remarkable research and innovation. This review article thoroughly examines the recent advancements in the field, focusing on the interplay between PV systems and water desalination within the framework of AI and ML applications, along with it analyses current research to identify significant patterns, obstacles, and prospects in this interdisciplinary field. Furthermore, review examines the incorporation of AI and ML methods in improving the performance of PV systems. This includes raising their efficiency, implementing predictive maintenance strategies, and enabling real-time monitoring. It also explores the transformative influence of intelligent algorithms on desalination techniques, specifically addressing concerns pertaining to energy usage, scalability, and environmental sustainability. This article provides a thorough analysis of the current literature, identifying areas where research is lacking and suggesting potential future avenues for investigation. These advancements have resulted in increased efficiency, decreased expenses, and improved sustainability of PV system. By utilizing artificial intelligence technologies, freshwater productivity can increase by 10 % and efficiency. This review offers significant and informative perspectives for researchers, engineers, and policymakers involved in renewable energy and water technology. It sheds light on the latest advancements in photovoltaic systems and desalination, which are facilitated by AI and ML. The review aims to guide towards a more sustainable and technologically advanced future.en_US
dc.description.sponsorshipDeanship of Scientific Research at King Khalid University [R.G.P. 1/182/44]en_US
dc.description.sponsorshipThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through a Small Group Research Project under grant number R.G.P. 1/182/44.en_US
dc.identifier.doi10.1016/j.heliyon.2024.e25407
dc.identifier.issn2405-8440
dc.identifier.issue3en_US
dc.identifier.pmid38371991en_US
dc.identifier.scopus2-s2.0-85184764606en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.heliyon.2024.e25407
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14348
dc.identifier.volume10en_US
dc.identifier.wosWOS:001182267100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherCell Pressen_US
dc.relation.ispartofHeliyonen_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectPhotovoltaicen_US
dc.subjectDesalinationen_US
dc.subjectPower Point Trackingen_US
dc.subjectGlobal Solar-Radiationen_US
dc.subjectFuzzy Inference Systemen_US
dc.subjectAlone Pv Systemen_US
dc.subjectNeural-Networken_US
dc.subjectFault-Diagnosisen_US
dc.subjectParameter-Identificationen_US
dc.subjectOptimization Algorithmen_US
dc.subjectMppt Techniquesen_US
dc.subjectGenetic Algorithmsen_US
dc.titleA comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learningen_US
dc.typeReviewen_US

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