Graybox and adaptative dynamic neural network identification models to infer the steady state efficiency of solar thermal collectors starting from the transient condition-Reference-Cited by-同舟云学术

Graybox and adaptative dynamic neural network identification models to infer the steady state efficiency of solar thermal collectors starting from the transient condition

Published:2010-06 Issue:6 Volume:84 Page:1027-1046
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Roberto Baccoli,Ubaldo Carlini,Stefano Mariotti,Roberto Innamorati,Elisa Solinas,Paolo Mura

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference33 articles.

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3. ANSI/ASHRAE Standard 93-2003, 2003. Methods of Testing to Determine Thermal Performance of Solar Collectors, ISSN: 1041-2336, ASHRAE, Inc., 1791 Tullie Circle, Ne, Atlanta, GA30329.

4. Non-linear dynamic system identification: a multi-model approach;Boukhris;International Journal of Control,1999

5. Solar Energy of Thermal Processes;Duffie,1991

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