Nur Ellysa Mu’izz Binti Mohd Zaini Universiti Tun Hussein Onn Malaysia
This project explores the prediction of photovoltaic (PV) output under different environmental conditions.. Recognizing the critical role of precise solar power forecasts in PV system management and planning, the research aims to create a model considering a broad spectrum of environmental variables, especially temperature and solar irradiance. The approach includes gathering extensive data from PV systems, preparing this data for model training, and assessing the model's accuracy through comprehensive validation methods. Findings indicate the model's effectiveness in forecasting PV output accurately, underscoring its potential to improve solar energy management.