文献
J-GLOBAL ID:201702272514469892
整理番号:17A1095498
最適化遺伝子発現計画法による定式化と予測長期電気エネルギー消費【Powered by NICT】
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
著者 (5件):
Kaboli S. Hr. Aghay
(University Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University Malaya (UM), JalanPantai Baharu, 59990, Kuala Lumpur, Malaysia)
,
Fallahpour A.
(University Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University Malaya (UM), JalanPantai Baharu, 59990, Kuala Lumpur, Malaysia)
,
Selvaraj J.
(University Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University Malaya (UM), JalanPantai Baharu, 59990, Kuala Lumpur, Malaysia)
,
Rahim N.A.
(University Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University Malaya (UM), JalanPantai Baharu, 59990, Kuala Lumpur, Malaysia)
,
Rahim N.A.
(Renewable Energy Research Group, King Abdulaziz University, Jeddah, 21589, Saudi Arabia)
資料名:
Energy
(Energy)
巻:
126
ページ:
144-164
発行年:
2017年
JST資料番号:
H0631A
ISSN:
0360-5442
CODEN:
ENEYDS
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)