Prediction of Rooftop Photovoltaic Power Generation Using Artificial Neural Network

Abstract

Photovoltaic (PV) system is known as one of the most popular renewable energy types in generating electricity power. However, one of the drawbacks of PV system is that the performance of PV panel output is incompatible and affected due to changing climate condition. Hence, it is important to predict the optimal power output of PV system. This study will cover the implementation of PV system at the rooftop of Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia. Then, the optimal PV output power on the rooftop will be predicted using calculation method and Artificial Neural Network (ANN). The results have shown that ANN has the ability to predict the PV output close to the calculation method.