A Forecasting Method of Electricity Sales Considering the User Churn Rate in a Power Market Environment

Author:

Qu Zhaoyang,Wang Wanxin,Qu Nan,Liu Yuqing,Lv Hongbo,Hu Kewei,Yu Jianyou,Gao Manyang,Song Jiajun

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Reference20 articles.

1. Zhang XX, Xue S, Yang S et al (2016) Release of international experience in the power market and its implications. Autom Electr Power Syst 40(9):1–8

2. Park MG, Cho SB, Chung KH et al (2014) Electricity market design for the incorporation of various demand-side resources in the Jeju smart grid test-bed. J Electr Eng Technol 9(6):1851–1863

3. Yang JJ, Zhao JH, Wen FS et al (2017) The core business structure of electricity retail and the decision of purchasing and selling electricity. Autom Electr Power Syst 41(14):18–23

4. Bai Y, Xie L, Xia Q, Chen QX (2015) Institutional design of chinese retail electricity market reform and related suggestions. Autom Electr Power Syst 39(14):1–7

5. Sun YT, Song YQ, Yao LZ (2018) Research on the behavior of power users in choosing electricity sales companies under the environment of electricity sales market. Power Syst Technol 42(04):1124–1131

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting credit card customer churn using support vector machine based on Bayesian optimization;Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics;2021-12-31

2. Correction to: A Forecasting Method of Electricity Sales Considering the User Churn Rate in a Power Market Environment;Journal of Electrical Engineering & Technology;2019-08-28

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