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 management to improve operational efficie...