中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization of electricity consumption in office buildings based on adaptive dynamic programming

文献类型:期刊论文

作者Shi, Guang1; Wei, Qinglai1; Liu, Derong2
刊名SOFT COMPUTING
出版日期2017-11-01
卷号21期号:21页码:6369-6379
关键词Office Buildings Electricity Consumption Optimization Battery Management Optimal Control Adaptive Dynamic Programming Neural Networks
DOI10.1007/s00500-016-2194-y
文献子类Article
英文摘要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.
WOS关键词ONLINE LEARNING CONTROL ; TRACKING CONTROL ; ENERGY MANAGEMENT ; NONLINEAR-SYSTEMS ; REINFORCEMENT ; DESIGN ; COMFORT ; NETWORK ; STATE
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000412458000011
资助机构National Natural Science Foundation of China(61374105 ; 61233001 ; 61273140)
源URL[http://ir.ia.ac.cn/handle/173211/13641]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
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
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.

入库方式: OAI收割

来源:自动化研究所

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