Erhan Baran

Residual Physics-Informed Neural Networks for Robust Photovoltaic Cell Temperature Modeling Across Seasonal and Data-Scarce Conditions

Accurate photovoltaic (PV) cell temperature prediction is essential for improving power forecasting, efficiency estimation, and long-term reliability analysis of photovoltaic systems. However, conventional empirical thermal models often lack adaptability under varying environmental conditions, whereas purely data-drive...