Artificial neural network-based photovoltaic module temperature estimation for tropical climate of Malaysia and its impact on photovoltaic system energy yield
This article presents an artificial neural network (ANN)-based approach for predicting photovoltaic (PV) module temperature using meteorological variables. The proposed approach utilizes actual hourly records of various meteorological parameters, such as ambient temperature Ta, solar irradiation G,...
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Main Authors: | , , , |
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Format: | Article |
Published: |
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/57895/ http://dx.doi.org/10.1002/pip.2424 |
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Institution: | Universiti Teknologi Malaysia |