An electricity consumption model for synthesizing scalable electricity load curves

doi:10.1016/j.energy.2018.12.050

	An electricity consumption model for synthesizing scalable electricity load curves
	Huang, Yunyou 1,2,3; Zhan, Jianfeng 1,2,3; Luo, Chunjie 1,2,3; Wang, Lei 1,3; Wang, Nana 2; Zheng, Daoyi 1,2,3; Fan, Fanda 1,2,3; Ren, Rui 1,2,3
	2019-02-15
发表期刊	ENERGY
ISSN	0360-5442
卷号	169 页码:674-683
摘要	Electricity users are the major players of the electricity systems, and electricity consumption is growing at an extraordinary rate. The research on electricity consumption behaviors are becoming increasingly important to design and deployment of the electricity systems. However, the acquisition of data related to the electricity consumption behaviors is still a major challenge. Data synthesis is among the best approaches to solving the issue, and the key is the model that preserves the real electricity consumption behaviors. In this paper, we propose a hierarchical multi-matrices Markov (HMM) model to synthesize scalable electricity load curves that preserve the real consumption behaviors on three time scales: per day, per week, and per year. To promote the research on the electricity consumption behaviors, we use the HMM approach to modeling two distinctive raw electricity load curves. One is collected from the resident sector, and the other is collected from the non-resident sectors, including different industries such as education, finance, and manufacturing. The experiments show our model performs much better than the cluster-based Markov model. We publish two trained models online, publicly available from http://www.benchcouncil.org/electricity, and researchers are allowed to directly use these trained models to synthesize scalable electricity load curves for further research. (C) 2018 Elsevier Ltd. All rights reserved.
关键词	Data acquisition Data models Veracity-preserving model Data synthesis High-order Markov chain Scalable electricity load curves
DOI	10.1016/j.energy.2018.12.050
收录类别	SCI
语种	英语
资助项目	Major Program of National Natural Science Foundation of China[61432006]
WOS研究方向	Thermodynamics ; Energy & Fuels
WOS类目	Thermodynamics ; Energy & Fuels
WOS记录号	WOS:000459528500055
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4114
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhan, Jianfeng
作者单位	1.Chinese Acad Sci, ICT, State Key Lab Comp Architecture, Beijing 100080, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 3.Chinese Acad Sci, ICT, ACS, Software Syst Lab, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Huang, Yunyou,Zhan, Jianfeng,Luo, Chunjie,et al. An electricity consumption model for synthesizing scalable electricity load curves[J]. ENERGY,2019,169:674-683.
APA	Huang, Yunyou.,Zhan, Jianfeng.,Luo, Chunjie.,Wang, Lei.,Wang, Nana.,...&Ren, Rui.(2019).An electricity consumption model for synthesizing scalable electricity load curves.ENERGY,169,674-683.
MLA	Huang, Yunyou,et al."An electricity consumption model for synthesizing scalable electricity load curves".ENERGY 169(2019):674-683.