Erhan Baran

A Hybrid Blockchain and Machine Learning Framework for Loss-Aware Optimization in Distributed Photovoltaic Systems

This study proposes a hybrid framework integrating machine learning and blockchain technologies for loss-aware optimization in distributed photovoltaic (PV) systems. The framework combines data-driven loss prediction, decentralized data validation, and optimization-based energy m...

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 environment...