Artificial neural network-based photovoltaic module temperature estimation for tropical climate of Malaysia and its impact on photovoltaic system energy yield-Reference-Cited by-同舟云学术

Artificial neural network-based photovoltaic module temperature estimation for tropical climate of Malaysia and its impact on photovoltaic system energy yield

Published:2013-10-15 Issue:3 Volume:23 Page:302-318
ISSN:1062-7995
Container-title:Progress in Photovoltaics: Research and Applications
language:en
Short-container-title:Prog. Photovolt: Res. Appl.

Author:

Almaktar Mohamed¹,Abdul Rahman Hasimah¹,Hassan Mohammad Yusri¹,Saeh Ibrahim¹

Affiliation:

1. Centre of Electrical Energy Systems (CEES); Faculty of Electrical Engineering, Universiti Teknologi Malaysia; 81300 Johor Bahru Johor Malaysia

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Reference52 articles.

1. American Energy Information Administration EIA available at http://www.eia.gov/

2. 2012 The outlook for energy: a view to 2040, ExxonMobil's long-term view of the world's energy future 2012

3. World Energy Industry overview http://www.mbendi.com/indy/ener/p0005.htm

4. Renewables 2010 Global Status Report http://www.ren21.net/REN21Activities/Publications/GlobalStatusReport/GSR2010/tabid/5824/Default.aspx

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