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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Muhammad Nafis Ismail
Universiti Tun Hussein Onn Malaysia
Control & Systems Engineering Electrical & Electronics Engineering

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Application of artificial neural network in sizing a stand-alone photovoltaic system: a review Ahmad Fateh Mohamad Nor; Suriana Salimin; Mohd Noor Abdullah; Muhammad Nafis Ismail
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.943 KB) | DOI: 10.11591/ijpeds.v11.i1.pp342-349

Abstract

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.
Co-Authors Ahmad Fateh Mohamad Nor Mohd Noor Abdullah Suriana Salimin