Application of artificial neural network in sizing a stand-alone photovoltaic system: a review

Ahmad Fateh Mohamad Nor (Universiti Tun Hussein Onn Malaysia)
Suriana Salimin (Universiti Tun Hussein Onn Malaysia)
Mohd Noor Abdullah (Universiti Tun Hussein Onn Malaysia)
Muhammad Nafis Ismail (Universiti Tun Hussein Onn Malaysia)

International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 11, No 1: March 2020

Artificial Neural Network (ANN) techniques are becoming useful in the current era due to the vast development of the current computer technologies. ANN has been used in various fields especially in the field of science and technology. One of the advantage that makes ANN so interesting is the ANN’s ability to learn the input and output relationship even though the relationship is non-linear. In addition, ANN is also useful for modelling, optimization, prediction, forecasting, and controlling systems. The main objective of this paper is to present a review of the ANN techniques for sizing a stand-alone photovoltaic (PV) system. The review in this paper shows the potential of ANN as a design tool for a stand-alone PV. In addition, ANN is very useful to improve the sizing process of the stand-alone PV system. The sizing process is of paramount importance to a stand-alone PV system in order to make sure the system can generate ample electrical energy to supply the load demand.