Research on Power Marketing Decision-Making Algorithm Based on Bayesian Network

DOI

10.2991/978-94-6463-256-9_127How to use a DOI?

Keywords

Bayesian network; Power marketing decisions; Data mining

Abstract

With the rapid development of the economy, fully leveraging the priority role of electricity is of great significance for accelerating the modernization of electricity, continuously meeting the growing demand for electricity and social production and consumption, and promoting socio-economic development. Among them, the role of electricity marketing is becoming increasingly prominent. How to fully mine and utilize the large amount of power marketing data accumulated by electric power enterprises over the years, so as to provide reliable support for the analysis and research of power marketing decisions. Bayesian network is a graphical pattern used to represent the continuous probability distribution of a set of variables, which provides causal information to discover potential relationships between data, and because of these characteristics, it is widely used in data mining. Therefore, this paper applies Bayesian network to the analysis and research of power marketing decision, and establishes a Bayesian network suitable for power marketing decision-making for customer value evaluation and provides reliable support for marketing decision-making.

Copyright

© 2024 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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TY  - CONF
AU  - GUO Ying
AU  - NI Yang
AU  - WANG Yuan
AU  - ZHAO Jing
AU  - LIU Liwei
PY  - 2023
DA  - 2023/10/09
TI  - Research on Power Marketing Decision-Making Algorithm Based on Bayesian Network
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 1245
EP  - 1253
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_127
DO  - 10.2991/978-94-6463-256-9_127
ID  - Ying2023
ER  -