SIA OpenIR  > 工业控制网络与系统研究室
Household User Behavior Analysis based on Power Data
Li, Xin1; Zang CZ(臧传治)2,3; Qin, Xiaoning4
Department工业控制网络与系统研究室
Conference Name31st Chinese Control and Decision Conference, CCDC 2019
Conference DateJune 3-5, 2019
Conference PlaceNanchang, China
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
Source PublicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherIEEE
Publication PlaceNew York
2019
Pages5814-5818
Indexed ByEI ; CPCI(ISTP)
EI Accession number20194207533836
WOS IDWOS:000555859006012
Contribution Rank2
ISBN978-1-7281-0105-7
KeywordUser Behavior Clustering Strategy Smart Grids
AbstractWith the popularization of smart grid application and the rapid development of big data technology, a large amount of user power consumption data is recorded and stored, making user power consumption behavior analysis the key content of demand side management. The user behavior state is identified by the variation of power amplitude of power load based on hidden Markov model. Users are mapped to potential feature space by means of price elasticity information regularization matrix decomposition. Further, K-means clustering algorithm is adopted to segment users. The strategy can improve the rationality of user power consumption behavior clustering, more effectively grasp the form of user power consumption load, reduce the peak load of power and balance power supply and demand, which is of great significance to the demand side management of smart grid.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25810
Collection工业控制网络与系统研究室
Corresponding AuthorZang CZ(臧传治)
Affiliation1.School of Information Engineering, Shenyang University, Shenyang 110044, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
4.Shenyang Dongling Power Supply Branch Company, Shenyang, Shenyang 110043, China
Recommended Citation
GB/T 7714
Li, Xin,Zang CZ,Qin, Xiaoning. Household User Behavior Analysis based on Power Data[C]//Institute of Electrical and Electronics Engineers Inc.. New York:IEEE,2019:5814-5818.
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