A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy-Reference-Cited by-同舟云学术

A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

Published:2010-05 Issue:5 Volume:84 Page:807-821
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Mellit Adel,Pavan Alessandro Massi

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Solar radiation model;Wong;Applied Energy,2001

2. Discourses on solar radiation modeling;Muneer;Renewable and Sustainable Energy Reviews,2007

3. Artificial intelligence techniques for photovoltaic applications: a review;Mellit;Progress in Energy and Combustion Science,2008

4. Solar Energy Fundamentals and Modelling Techniques: Atmosphere, Environment, Climate Change and Renewable Energy;Zekai,2008

5. Modeling Solar Radiation at the Earth’s Surface, Recent Advances;Badescu,2008

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