文献
J-GLOBAL ID:202202230149699745
整理番号:22A0731226
経験的モード分解と極値学習機械を用いた住宅負荷のための新しいハイブリッド短期電力予測技術【JST・京大機械翻訳】
A novel hybrid short-term electricity forecasting technique for residential loads using Empirical Mode Decomposition and Extreme Learning Machines
著者 (4件):
Sulaiman S.M.
(Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, India)
,
Jeyanthy P. Aruna
(Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education, India)
,
Devaraj D.
(Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education, India)
,
Shihabudheen K.V.
(Department of Electrical Engineering, National Institute of Technology, Calicut, India)
資料名:
Computers and Electrical Engineering
(Computers and Electrical Engineering)
巻:
98
ページ:
Null
発行年:
2022年
JST資料番号:
D0546B
ISSN:
0045-7906
CODEN:
CPEEBQ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)