A systematic review of recent developments in IoT-based demand side management for PV power generation
Fecha
2024-06-21
Profe guía
Perfil ORCID
Título de la revista
ISSN de la revista
Título del volumen
Editor
De Gruyter
ISBN
ISSN
2329-8766
ISSNe
Resumen
Demand-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.
Descripción
Lugar de Publicación
Sponsorship
Citación
Energy Harvesting and Systems, Vol. 11, N°1, 20230124 (2024) p. 1-22.
Palabras clave
demand response, IoT, Load schedualing, Solar power generation, Prediction, Demand-side management, Machine Learning, Renewable energy
Licencia
Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)