Application of Hopfield Neural Network to the optimal chilled water supply temperature calculation of air-conditioning systems for saving energy-Reference-Cited by-同舟云学术

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Application of Hopfield Neural Network to the optimal chilled water supply temperature calculation of air-conditioning systems for saving energy

Published:2009-08 Issue:8 Volume:48 Page:1649-1657
ISSN:1290-0729
Container-title:International Journal of Thermal Sciences
language:en
Short-container-title:International Journal of Thermal Sciences

Author:

Chang Yung-Chung

Publisher

Elsevier BV

Subject

General Engineering,Condensed Matter Physics

Reference15 articles.

1. Power consumption of semiconductor fabs in Taiwan area;Hu;Energy,2003

2. Applications of optimal control to chilled water systems without storage;Braun;ASHRAE Trans.,1989

3. A novel energy conservation method–optimal chiller loading;Chang;Electric Power Systems Research,2004

4. Operations Research: Applications and Algorithms;Winston,1987

5. Liquid Chilling System, ASHRAE Handbook, 2000 (Chapter 38)

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