Rao, Challa KrishnaSahoo, Sarat KumarYanine, Fernando2024-12-032024-12-032024-06-21Energy Harvesting and Systems, Vol. 11, N°1, 20230124 (2024) p. 1-22.2329-8766http://hdl.handle.net/20.500.12254/3966Demand-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.enAtribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)demand responseIoTLoad schedualingSolar power generationPredictionDemand-side managementMachine LearningRenewable energyArticlehttps://orcid.org/0000-0003-1086-0840https://doi.org/10.1515/EHS-2023-0124