The growing deployment of solar photovoltaic (PV) and thermal collector systems requires intelligent maintenance frameworks to improve reliability and reduce operational costs. This study presents a hybrid Aidriven predictive maintenance system integrating Long Short-Term Memory (LSTM) networks for temporal forecasting and Random Forest (RF) classifiers for fault detection within ...