A method of electricity consumption behaviour clustering and pricing packages based on data mining
DOI: 10.23977/isspj.2020.51004 | Downloads: 30 | Views: 2421
Baoyi Wang 1, Yang Fan 1, Shaomin Zhang 1
1 School of Control and Computer Engineering, North China Electric Power University, China
Corresponding AuthorBaoyi Wang
In this paper, under the background of the reform of electricity sales side, a method of electricity consumption behaviour clustering and pricing packages based on data mining is proposed. Firstly, a distributed clustering framework combining DTW k-medoids algorithm and CFSFDP algorithm is proposed. Secondly, typical load curves of local data are extracted under the framework to construct local model. Then, quadratic clustering analysis is carried out for the local model results, and the global typical load curve is obtained to construct the global model. Finally, recommend the most suitable electricity sales plan to the target users. The experimental result shows that the subdivision of electricity consumption behavior can realize the effective personalized electricity package recommendation service for users and improve the power supply service quality for power companies and provide technical support for improving the operation efficiency.
KEYWORDSsmart grid, distributed clustering ,pricing packages recommendation
CITE THIS PAPER
Baoyi Wang, Yang Fan and Shaomin Zhang. A method of electricity consumption behaviour clustering and pricing packages based on data mining. Information Systems and Signal Processing Journal (2020) 5: 18-23. DOI: http://dx.doi.org/10.23977/isspj.2020.51004.
 Haben S，Singleton C，Grindrod P.Analysis and clustering of residential customers energy behavioral demand using smart meter data[J].IEEE Transactions on Smart Grid，VOL. 7, NO. 1, Pages: 136-144, 2016.
 Ofuji K，Tatsumi N.Wholesale and retail electricity markets in Japan: Results of market revitalization measures and prospects for the current reform[J].Economics of Energy & Environmental Policy，VOL. 5, NO. 1, Pages: 31-49 2016
 Sun Yi, Gu Wei, et al. Electricity-Retail-Market-Reform Oriented Recommendation Method of User’s Hierarchical Clustering and Pricing Packages [J]. Grid technology, Volume:2, NO. 2, Pages: 447-454, 2018.
Hu Chen, et al.Preliminary Research of Trading Approach and Management Modes of Electricity Retail Companies Under New Electricity Market Reform [J]. Grid technology, Volume:40, NO. 11, Pages: 3293-3299, 2016.
Luo Shuhan, Jiang Chuanwen, et al. Power Trading Strategy and Risk Assessment of Electricity Retailing Company Under Power System Reform [J]. Grid technology, Volume:43, NO. 4, Pages: 944-951, 2019.
 F. Luo et al. Cloud-based information infrastructure for next- generation power grid: Conception, architecture, and applications [J].IEEE Transactions on Smart Grid，VOL. 7, NO.1, Pages: 1896–1912,2015.
 Luo F , Ranzi G , Wang X , et al. Social Information Filtering Based Electricity Retail Plan Recommender System for Smart Grid End Users[J].IEEE Transactions on Smart Grid，VOL. 10, NO. 1, Pages: 95-104, 2019.
 Yi Wang, Qixin Chen,Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications [J]. IEEE Transactions on Smart Grid, 2016, 7(5):2437-2447.