Optimization of electricity consumption in office buildings based on adaptive dynamic programming

doi:10.1007/s00500-016-2194-y

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Optimization of electricity consumption in office buildings based on adaptive dynamic programming
	Shi, Guang1 ; Wei, Qinglai1 ; Liu, Derong 2
发表期刊	SOFT COMPUTING
	2017-11-01
卷号	21 期号:21 页码:6369-6379
文章类型	Article
摘要	In this paper, an optimization method based on adaptive dynamic programming is developed to improve the electricity consumption of rooms in office buildings through optimal battery management. Rooms in office buildings are generally divided into office rooms, computer rooms, storage rooms, meeting rooms, etc., and each category of rooms have different characteristics of electricity consumption, which is divided into electricity consumption from sockets, lights and air-conditioners in this paper. The developed method based on action-dependent heuristic dynamic programming is explained in detail, and different optimization strategies of electricity consumption in different categories of rooms are proposed in accordance with the developed method. Finally, a detailed case study on an office building is given to demonstrate the practical effect of the developed method.
关键词	Office Buildings Electricity Consumption Optimization Battery Management Optimal Control Adaptive Dynamic Programming Neural Networks
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s00500-016-2194-y
关键词[WOS]	ONLINE LEARNING CONTROL ; TRACKING CONTROL ; ENERGY MANAGEMENT ; NONLINEAR-SYSTEMS ; REINFORCEMENT ; DESIGN ; COMFORT ; NETWORK ; STATE
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61374105 ; 61233001 ; 61273140)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000412458000011
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13641
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Shi, Guang,Wei, Qinglai,Liu, Derong. Optimization of electricity consumption in office buildings based on adaptive dynamic programming[J]. SOFT COMPUTING,2017,21(21):6369-6379.
APA	Shi, Guang,Wei, Qinglai,&Liu, Derong.(2017).Optimization of electricity consumption in office buildings based on adaptive dynamic programming.SOFT COMPUTING,21(21),6369-6379.
MLA	Shi, Guang,et al."Optimization of electricity consumption in office buildings based on adaptive dynamic programming".SOFT COMPUTING 21.21(2017):6369-6379.

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