Prediction of water flow rate in a photovoltaic water pumping system (PVWPS) is of high importance for investors who wish to achieve an efficient management of water demand in remote and desert areas. In this paper, different prediction methods based on Artificial Neural Networks (ANNs) have...

In this paper we investigate, the possibility of using an adaptive Artificial Neural Network (ANN), in order to find a suitable model for sizing Stand-Alone Photovoltaic (SAPV) systems, based on a minimum of input data. The model combines Radial Basis Function (RBF) network and Infinite Impulse...

This paper presents an adaptive artificial neural network (ANN) for modeling and simulation of a Stand-Alone photovoltaic (SAPV) system operating under variable climatic conditions. The ANN combines the Levenberg–Marquardt algorithm (LM) with an infinite impulse response (IIR) filter in order...