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: Saberian, Aminmohammad, Hizam, Hashim, Mohd Radzi, Mohd Amran, Ab Kadir, Mohd Zainal Abidin, Mirzaei, Maryam
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34553/
http://psasir.upm.edu.my/id/eprint/34553/1/Modelling%20and%20Prediction%20of%20Photovoltaic%20Power%20Output%20Using.pdf

Internet

http://psasir.upm.edu.my/id/eprint/34553/
http://psasir.upm.edu.my/id/eprint/34553/1/Modelling%20and%20Prediction%20of%20Photovoltaic%20Power%20Output%20Using.pdf

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