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,
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) Hierachical Bayesian Nonlinear Time Series Prediction / Energy Demand Predicion
Paper #
Date of Issue

Conference Information
Committee NC
Conference Date 1998/2/5(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
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) Hierachical Bayesian Nonlinear Time Series Prediction
Keyword(2) Energy Demand Predicion
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
Paper #
Volume (vol) vol.97
Number (no) 532
Page pp.pp.-
#Pages 8
Date of Issue