Heat consumption forecasting using partial least squares, artificial neural network and support vector regression techniques in district heating systems-Reference-Cited by-同舟云学术

Heat consumption forecasting using partial least squares, artificial neural network and support vector regression techniques in district heating systems

Published:2010-06-11 Issue:4 Volume:27 Page:1063-1071
ISSN:0256-1115
Container-title:Korean Journal of Chemical Engineering
language:en
Short-container-title:Korean J. Chem. Eng.

Author:

Park Tae Chang,Kim Ui Sik,Kim Lae-Hyun,Jo Byung Wan,Yeo Yeong Koo

Publisher

Springer Science and Business Media LLC

Subject

General Chemical Engineering,General Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s11814-010-0220-9.pdf

Reference10 articles.

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3. K. Lru, S. Subbarayan, R. R. Shoults, M. T. Manry, C. Kwan, F. L. Iewis and J. Naccarino, IEEE Transactions on Power Systems, 11(2) (1996).

4. D. Alex and C. Timothy, IEEE Transactions on Power Systems, 5, 1535 (1990).

5. I. Dejan, FME Transactions, 34, 165 (2006).

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