Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Valuing Electricity Customers of Electricity Retailers Based on Bayesian BWM-Inverse Entropy-Cloud Model

Authors
Zhili Liu1, Dizhang Xie1, Jun Dong2, Xihao Dou2, Yuzheng Jiang2, *, Shicheng Peng2
1Yalong River Basin Hydropower Development Limited Company, Chengdu, 610051, China
2School of Economics and Management, North China Electric Power University, Beijing, 102206, China
*Corresponding author. Email: 120202206107@ncepu.edu.cn
Corresponding Author
Yuzheng Jiang
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_42How to use a DOI?
Keywords
electricity retailers; customer value assessment; Bayesian; BWM; anti-entropy rights
Abstract

With the continuous reform of electricity market, the competition in the retail market is becoming more and more intense. How to select high quality customers will become an important issue for the development of electricity retailers. At present, the value assessment of customers by electricity retailers is subjective and arbitrary. The establishment of a scientific and reasonable evaluation system for the value of customers will be conducive to the development of targeted marketing strategies and the realization of differentiated services. The paper constructs a value assessment system for customers based on their characteristics such as load curve, profit contribution and credit risk. By combining Bayesian BWM and the entropy weighting method, the indicators are comprehensively assigned. Then the two-dimensional cloud model is applied to determine the distribution level of customer value. Finally, it realizes the comprehensive assessment of the value of electricity customers. The paper uses ten customers for case studies to validate the proposed model. Targeted marketing measures are proposed to improve the retailers’ operating profitability.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_42How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhili Liu
AU  - Dizhang Xie
AU  - Jun Dong
AU  - Xihao Dou
AU  - Yuzheng Jiang
AU  - Shicheng Peng
PY  - 2023
DA  - 2023/08/10
TI  - Valuing Electricity Customers of Electricity Retailers Based on Bayesian BWM-Inverse Entropy-Cloud Model
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 404
EP  - 416
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_42
DO  - 10.2991/978-94-6463-198-2_42
ID  - Liu2023
ER  -