Modelling and Prediction of Photovoltaic Power Output Using Artificial Neural Networks

Modelling and Prediction of Photovoltaic Power Output Using Artificial Neural Networks

This paper presents a solar power modelling method using artificial neural networks (ANNs). Two neural network structures, namely, general regression neural network (GRNN) feedforward back propagation (FFBP), have been used to model a photovoltaic panel output power and approximate the generated pow...

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Bibliographic Details
Main Authors: Aminmohammad Saberian, H. Hizam, M. A. M. Radzi, M. Z. A. Ab Kadir, Maryam Mirzaei
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2014/469701
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