文献
J-GLOBAL ID:201902210874322832
整理番号:19A0916771
サポートベクトルマシンアルゴリズムにより最適化された灰色予測理論と極端学習機械に基づく北京-天津-河北地域におけるエネルギー消費に関連する炭素排出量の予測【JST・京大機械翻訳】
Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm
著者 (9件):
Li Menglu
(School of Economics and Management, North China Electric Power University, Beijing 102206, China)
,
Li Menglu
(Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)
,
Wang Wei
(School of Humanities and Social Sciences, North China Electric Power University, Beijing 102206, China)
,
De Gejirifu
(School of Economics and Management, North China Electric Power University, Beijing 102206, China)
,
De Gejirifu
(Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)
,
Ji Xionghua
(School of Economics and Management, Yan’an University, Yan’an 716000, China)
,
Tan Zhongfu
(School of Economics and Management, North China Electric Power University, Beijing 102206, China)
,
Tan Zhongfu
(Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)
,
Tan Zhongfu
(School of Economics and Management, Yan’an University, Yan’an 716000, China)
資料名:
Energies (Web)
(Energies (Web))
巻:
11
号:
9
ページ:
2475
発行年:
2018年
JST資料番号:
U7016A
ISSN:
1996-1073
CODEN:
ENERGA
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)