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An electricity consumption model for synthesizing scalable electricity load curves

文献类型：期刊论文

作者Luo, Chunjie1,2,3; Zhan, Jianfeng1,2,3; Huang, Yunyou1,2,3; Ren, Rui1,2,3; Fan, Fanda1,2,3; Zheng, Daoyi1,2,3; Wang, Nana2; Wang, Lei1,3
刊名ENERGY
出版日期2019-02-15
卷号169页码:674-683
关键词Data acquisition Data models Veracity-preserving model Data synthesis High-order Markov chain Scalable electricity load curves
ISSN号0360-5442
DOI10.1016/j.energy.2018.12.050
英文摘要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.
资助项目Major Program of National Natural Science Foundation of China[61432006]
WOS研究方向Thermodynamics ; Energy & Fuels
语种英语
WOS记录号WOS:000459528500055
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.204/handle/2XEOYT63/4113]  
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, ACS, Software Syst Lab, Beijing 100080, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Chinese Acad Sci, ICT, State Key Lab Comp Architecture, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Chunjie,Zhan, Jianfeng,Huang, Yunyou,et al. An electricity consumption model for synthesizing scalable electricity load curves[J]. ENERGY,2019,169:674-683.
APA Luo, Chunjie.,Zhan, Jianfeng.,Huang, Yunyou.,Ren, Rui.,Fan, Fanda.,...&Wang, Lei.(2019).An electricity consumption model for synthesizing scalable electricity load curves.ENERGY,169,674-683.
MLA Luo, Chunjie,et al."An electricity consumption model for synthesizing scalable electricity load curves".ENERGY 169(2019):674-683.

入库方式： OAI收割

来源：计算技术研究所

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