A systematic review of recent developments in IoT-based demand side management for PV power generation

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dc.contributor.authorRao, Challa Krishna
dc.contributor.authorSahoo, Sarat Kumar
dc.contributor.authorYanine, Fernando
dc.date.accessioned2024-12-03T18:30:42Z
dc.date.available2024-12-03T18:30:42Z
dc.date.issued2024-06-21
dc.description.abstractDemand-side management (DSM) with Internet of Things (IoT) integration has become a vital path for optimizing photovoltaic (PV) power generating systems. This systematic review synthesizes and evaluates the latest advancements in IoT-based DSM strategies applied to PV power generation. The review encompasses a comprehensive analysis of recent literature, focusing on the key elements of IoT implementation, data analytics, communication protocols, and control strategies in relation to solar energy DSM. The combined results show how IoT-driven solutions are changing and how they might improve PV power systems’ sustainability, dependability, and efficiency. The review also identifies gaps in current research and proposes potential avenues for future investigations, thereby contributing to the ongoing discourse on leveraging smart DSM in the solar energy domain using IoT technology.
dc.identifier.citationEnergy Harvesting and Systems, Vol. 11, N°1, 20230124 (2024) p. 1-22.
dc.identifier.doihttps://doi.org/10.1515/EHS-2023-0124
dc.identifier.issn2329-8766
dc.identifier.orcidhttps://orcid.org/0000-0003-1086-0840
dc.identifier.urihttp://hdl.handle.net/20.500.12254/3966
dc.language.isoen
dc.publisherDe Gruyter
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subjectdemand response
dc.subjectIoT
dc.subjectLoad schedualing
dc.subjectSolar power generation
dc.subjectPrediction
dc.subjectDemand-side management
dc.subjectMachine Learning
dc.subjectRenewable energy
dc.titleA systematic review of recent developments in IoT-based demand side management for PV power generation
dc.typeArticle
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