CORC  > 上海大学
A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem
Yang, Zhile[1]; Li, Kang[2]; Niu, Qun[3]; Xue, Yusheng[4]
刊名KNOWLEDGE-BASED SYSTEMS
2017
卷号134页码:13-30
关键词Unit commitment Hybrid meta-heuristic optimisation Binary particle swarm optimisation Differential evolution Renewable generation Plug-in electric vehicles
ISSN号0950-7051
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2184767
专题上海大学
作者单位1.[1]Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT9 5AH, Antrim, North Ireland.
2.[2]Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT9 5AH, Antrim, North Ireland.
3.[3]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China.
4.[4]State Grid Elect Power Res Inst, Nanjing 210003, Jiangsu, Peoples R China.
推荐引用方式
GB/T 7714
Yang, Zhile[1],Li, Kang[2],Niu, Qun[3],et al. A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem[J]. KNOWLEDGE-BASED SYSTEMS,2017,134:13-30.
APA Yang, Zhile[1],Li, Kang[2],Niu, Qun[3],&Xue, Yusheng[4].(2017).A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem.KNOWLEDGE-BASED SYSTEMS,134,13-30.
MLA Yang, Zhile[1],et al."A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem".KNOWLEDGE-BASED SYSTEMS 134(2017):13-30.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace