CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Optimization of electricity consumption in office buildings based on adaptive dynamic programming
Shi, Guang1; Wei, Qinglai1; Liu, Derong2
Source PublicationSOFT COMPUTING
2017-11-01
Volume21Issue:21Pages:6369-6379
SubtypeArticle
AbstractIn 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.
KeywordOffice Buildings Electricity Consumption Optimization Battery Management Optimal Control Adaptive Dynamic Programming Neural Networks
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00500-016-2194-y
WOS KeywordONLINE LEARNING CONTROL ; TRACKING CONTROL ; ENERGY MANAGEMENT ; NONLINEAR-SYSTEMS ; REINFORCEMENT ; DESIGN ; COMFORT ; NETWORK ; STATE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61374105 ; 61233001 ; 61273140)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000412458000011
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13641
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
FinalPaper2.pdf(1611KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shi, Guang]'s Articles
[Wei, Qinglai]'s Articles
[Liu, Derong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shi, Guang]'s Articles
[Wei, Qinglai]'s Articles
[Liu, Derong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shi, Guang]'s Articles
[Wei, Qinglai]'s Articles
[Liu, Derong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: FinalPaper2.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.