Characterisation study and analysis of photovoltaic-hybrid for fish farming

Abstract

Data-acquisition systems are widely used in renewable energy source (RES) applications i!1 order to collect data regarding the installed system performance, for evaluation purposes. The aim of this study is to determine the output characteristics of the photovoltaic-hybrid (PY-battery) in order to achieve an accurate mathematical model to predict the amount of energy generated. This study introduced 3 different type of software which is Artificial Neural Network, Areslab and Eureqa to simulate the output. In future, the network is able to estimate the maximum output power for field data and gives rise to the possibility that the proposed approach can be used for making decision regarding the installation of solar PV arrays in the field. These new systems will boost of high accuracy measurements.