Parallel Building: A Complex System Approach for Smart Building Energy Management

doi:10.1109/JAS.2019.1911768

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Parallel Building: A Complex System Approach for Smart Building Energy Management
	Almalaq, Abdulaziz 2,4; Hao, Jun 4; Zhang, Jun Jason 4; Wang, Fei-Yue 1,3
刊名	IEEE-CAA JOURNAL OF AUTOMATICA SINICA
	2019-11-01
卷号	6 期号:6 页码:1452-1461
关键词	ACP theory artificial intelligence data acquisition deep learning (DL) energy consumption machine learning parallel energy prediction prediction algorithms smart grid
ISSN号	2329-9266
DOI	10.1109/JAS.2019.1911768
通讯作者	Almalaq, Abdulaziz(a.almalaq@uoh.edu.sa)
英文摘要	These days' smart buildings have high intensive information and massive operational parameters, not only extensive power consumption. With the development of computation capability and future 5G, the ACP theory (i.e., artificial systems, computational experiments, and parallel computing) will play a much more crucial role in modeling and control of complex systems like commercial and academic buildings. The necessity of making accurate predictions of energy consumption out of a large number of operational parameters has become a crucial problem in smart buildings. Previous attempts have been made to seek energy consumption predictions based on historical data in buildings. However, there are still questions about parallel building consumption prediction mechanism using a large number of operational parameters. This article proposes a novel hybrid deep learning prediction approach that utilizes long short-term memory as an encoder and gated recurrent unit as a decoder in conjunction with ACP theory. The proposed approach is tested and validated by real-world dataset, and the results outperformed traditional predictive models compared in this paper.
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; SUPPORT VECTOR MACHINES ; REGRESSION-ANALYSIS ; CONSUMPTION ; PREDICTION ; ENSEMBLES ; STORAGE
WOS研究方向	Automation & Control Systems
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000503189200015
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29433]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Almalaq, Abdulaziz
作者单位	1.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China 2.Univ Hail, Dept Elect Engn, Engn Coll, Hail 55476, Saudi Arabia 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Univ Denver, Ritchie Sch Engn & Comp Sci, Dept Elect & Comp Engn, Denver, CO 80208 USA
推荐引用方式 GB/T 7714	Almalaq, Abdulaziz,Hao, Jun,Zhang, Jun Jason,et al. Parallel Building: A Complex System Approach for Smart Building Energy Management[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2019,6(6):1452-1461.
APA	Almalaq, Abdulaziz,Hao, Jun,Zhang, Jun Jason,&Wang, Fei-Yue.(2019).Parallel Building: A Complex System Approach for Smart Building Energy Management.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,6(6),1452-1461.
MLA	Almalaq, Abdulaziz,et al."Parallel Building: A Complex System Approach for Smart Building Energy Management".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 6.6(2019):1452-1461.