Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring

Sensorless real-time solar irradiance prediction in grid-connected PV systems using PSO-MPPT and IoT-enabled monitoring

Abstract Accurate prediction of solar irradiance is vital for optimizing the energy output and operational efficiency of grid-connected photovoltaic (PV) systems, especially under fluctuating environmental conditions. Conventional tools such as pyranometers, though widely used, often fail to capture...

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Bibliographic Details
Main Authors: Ali Zaki Mohammed Nafa, Adel A. Obed, Ahmed J. Abid, Salam J. Yaqoob, Mohit Bajaj, Mohammad Shabaz
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Energy Informatics
Subjects:
Artificial intelligence
Internet of things
Maximum power point tracking
Particle swarm optimization
Photovoltaic systems
Real-time monitoring
Online Access:https://doi.org/10.1186/s42162-025-00563-z
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https://doi.org/10.1186/s42162-025-00563-z

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