Research on Innovation of Electric Power Smart Marketing Management Mode under Internet Environment
- DOI
- 10.2991/978-94-6463-326-9_21How to use a DOI?
- Keywords
- Internet environment; Electricity; Wisdom; Marketing; Management; Mode; Innovate
- Abstract
The conventional smart marketing management mode of electric power mainly uses the distributed integrated management system of storage, processing and collection, which is easily influenced by the random change of electricity data, resulting in the low intelligent marketing management index. Therefore, under the Internet environment, it is necessary to innovatively design a brand-new power marketing management mode. That is to say, the environment of electric power smart marketing management is analyzed, and the electric power smart marketing management center is designed, thus the optimization model of electric power smart marketing management is constructed. The results of case analysis show that the management index of the designed electric power smart marketing management model is high, the management effect is good, it is reliable and has certain application value, which has made certain contributions to improving the comprehensive strength of electric power smart marketing in China.
- 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
TY - CONF AU - Longzhu Zhu AU - Lihua Gong AU - Mingjie Zhang AU - Kunpeng Liu AU - Jing Yang PY - 2023 DA - 2023/12/30 TI - Research on Innovation of Electric Power Smart Marketing Management Mode under Internet Environment BT - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023) PB - Atlantis Press SP - 197 EP - 207 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-326-9_21 DO - 10.2991/978-94-6463-326-9_21 ID - Zhu2023 ER -