文献
J-GLOBAL ID:201702253042464051
整理番号:17A0404662
自己適応型微分進化的アルゴリズムを用いた液体乾燥剤空調における省エネルギーのための大域的に最適化された手術戦略【Powered by NICT】
A global optimized operation strategy for energy savings in liquid desiccant air conditioning using self-adaptive differential evolutionary algorithm
著者 (4件):
Wang Xinli
(School of Control Science and Engineering, Shandong University, Jinan 250061, PR China)
,
Wang Xinli
(EXQUISITUS, Centre for E-City, School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore)
,
Cai Wenjian
(EXQUISITUS, Centre for E-City, School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore)
,
Yin Xiaohong
(School of Automation & Electronic Engineering, Qingdao University of Science & Technology, Qingdao 266042, PR China)
資料名:
Applied Energy
(Applied Energy)
巻:
187
ページ:
410-423
発行年:
2017年
JST資料番号:
A0097A
ISSN:
0306-2619
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)