Hasan Ulutas

Integrating local photovoltaic and meteorological data for enhanced forecasting precision using machine learning

This study utilizes six years of meteorological data from Duzce to predict solar energy output using 14 machine learning (ML) algorithms and contributes to artificial intelligence by advancing ML-based forecasting methods and supports engineering practices by optimizing PV system management.