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.
