Presentation | 1998/2/5 Air-conditioning Load Prediction by Hierarchical Bayesian Neural Nets Y Nakajima, M Saito, J Sugi, H Hamagishi, D Hattori, T Matsumoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Hierarchical Bayesian neural nets are formulated to energy demand prediction, and are applied to air-conditioning load prediction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hierarchical Bayesian Nonlinear Time Series Prediction / Energy Demand Prediction |
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Conference Information | |
Committee | NLP |
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Conference Date | 1998/2/5(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Air-conditioning Load Prediction by Hierarchical Bayesian Neural Nets |
Sub Title (in English) | |
Keyword(1) | Hierarchical Bayesian Nonlinear Time Series Prediction |
Keyword(2) | Energy Demand Prediction |
1st Author's Name | Y Nakajima |
1st Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University() |
2nd Author's Name | M Saito |
2nd Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
3rd Author's Name | J Sugi |
3rd Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
4th Author's Name | H Hamagishi |
4th Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
5th Author's Name | D Hattori |
5th Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
6th Author's Name | T Matsumoto |
6th Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
Date | 1998/2/5 |
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Volume (vol) | vol.97 |
Number (no) | 530 |
Page | pp.pp.- |
#Pages | 8 |
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