Artificial neural networks for the performance prediction of large solar systems-Reference-Cited by-同舟云学术

Artificial neural networks for the performance prediction of large solar systems

Published:2014-03 Issue: Volume:63 Page:90-97
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Kalogirou S.A.,Mathioulakis E.,Belessiotis V.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference21 articles.

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4. Thermal solar systems and components – custom built systems – Part 2: Test methods for solar water heaters and combi-systems;CEN, FprEN 12977-2,2011

5. QAiST Project. Information on quality assurance in solar thermal: recent changes in the standards and outlook. QAiST Industry Workshop, Warsaw, Poland, 14 December 2011.

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