文献
J-GLOBAL ID:201502207622908053
整理番号:15A0228793
年間電力需要予測のためのハイブリッド自己適応粒子群最適化-遺伝的アルゴリズム-動径基底関数モデル
A hybrid self-adaptive Particle Swarm Optimization-Genetic Algorithm-Radial Basis Function model for annual electricity demand prediction
著者 (6件):
YU Shiwei
(School of Economics and Management, China Univ. of Geosciences, Wuhan 430074, CHN)
,
YU Shiwei
(Center for Energy and Environmental Policy Res., Beijing Inst. of Technol., Beijing 100181, CHN)
,
WANG Ke
(Center for Energy and Environmental Policy Res., Beijing Inst. of Technol., Beijing 100181, CHN)
,
WANG Ke
(School of Management and Economics, Beijing Inst. of Technol., Beijing 100181, CHN)
,
WEI Yi-Ming
(Center for Energy and Environmental Policy Res., Beijing Inst. of Technol., Beijing 100181, CHN)
,
WEI Yi-Ming
(School of Management and Economics, Beijing Inst. of Technol., Beijing 100181, CHN)
資料名:
Energy Conversion and Management
(Energy Conversion and Management)
巻:
91
ページ:
176-185
発行年:
2015年02月
JST資料番号:
A0552A
ISSN:
0196-8904
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)