Cooling load prediction in a district heating and cooling system through simplified robust filter and multilayered neural network

Applied Artificial Intelligence

Volumn 15, Issue 7, 2001, Pages 633-643

  Sakawa, Masatoshi ^a   Kato, Kosuke ^a   Ushiro, Satoshi ^b  

^a HIROSHIMA UNIVERSITY   (Japan)

^b Shinryo Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC STABILITY; COOLING SYSTEMS; DYNAMIC LOADS; NEURAL NETWORKS;

COOLING LOAD; ROBUST FILTER;

DISTRICT HEATING;

EID: 0242354155     PISSN: 08839514     EISSN: None     Source Type: Journal    
DOI: 10.1080/088395101750363975     Document Type: Article

References (8)

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4. Rumelhart, D. E., G. E. Hinton, and R. J. Williams. 1986. Learning representations by back propagating errors. Nature 323:533-536.
5. Rumelhart, D. E., J. L. McClelland, and the PDP Research Group. 1986. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations. The MIT Press.
6. Sakawa, M., and M. Tanaka. 1997. Introduction of Neurocomputing. Tokyo: Morikita Publishing Company (in Japanese).
7. Sakawa, M., S. Ushiro, K. Kato, and T. Inoue. 1999a. Cooling load prediction through radial basis function network and simplified robust filter. Journal of Japan Society for Fuzzy Theory and Systems 11:112-120 (in Japanese).
8. Sakawa, M., S. Ushiro, K. Kato, and T. Inoue. 1999b. Cooling load prediction through radial basis function network using a hybrid structural learning and simplified robust filter. Transaction of the Institute of Electronics, Information and Communication Engineers A. J82-A:31-39. (in Japanese).