AIoT-Enabled Edge Intelligence Framework for Real-Time Monitoring and Fault Diagnosis in Photovoltaic Systems Through LSTM and Random Forest
The reliable operation of photovoltaic (PV) systems requires effective methods for distinguishing anomalies from normal environmental variations. This study presents an Artificial Intelligence of Things (AIoT) framework for real-time PV monitoring and anomaly diagnosis. The proposed system integrates custom data acquis...
Anmar Samael Mora-Martínez, R. Jiménez-Betancourt, J. M. González López et al.
· Applied Sciences · 0 citations