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Paper Details

Estimation of solar power generation in some Nigerian cities using artificial neural network

Ashigwuike .C. Evans

Journal Title:Journal of Chemical, Biological and physical sciences

This study introduces neural network technique for estimating solar (photovoltaic) power generation. It dealt with the construction and training of an Artificial Neural Network to estimate the solar power generated from photovoltaic systems based on latitude of PV site, day of the year, cell efficiency and area of solar array. It describes in some detail the important attribute that this technique has which makes it particularly well suited for solving problems where conventional methods have limitations. The major goal of this project therefore was to assess the suitability or otherwise of the feed forward neural network for the estimation of solar generated power of a small isolated water pumping and street lighting power systems using data obtained from field of operation of PV power systems. The neural network was simulated using Artificial Neural Network module in MATLAB.