Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)

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Data Asset Pricing Model for Power Grid Corporations

Authors
Liyu Xia1, *, Xinsheng Zhang1, Jianfei Lu1
1State Grid Energy Research Institute, Beijing, China
*Corresponding author. Email: xialiyu@sgeri.sgcc.com.cn
Corresponding Author
Liyu Xia
Available Online 31 October 2023.
DOI
10.2991/978-2-38476-126-5_183How to use a DOI?
Keywords
Data assets; pricing model; grid corporations; power data
Abstract

[Purpose/Meaning] As a new key production element, data element fully shows huge profit potential in the production and operation activities of power grid companies. Power grid companies should maximize the value of power data by means of pricing in the current market environment. [Method/Process] Firstly, analyze the application scenarios, advantages and limitations of different pricing methods. Secondly, combined with the characteristics of power data, the comprehensive data asset pricing model of power grid companies is constructed; Finally, some suggestions are put forward for the internal system construction and multi-entity collaborative activities of grid enterprises. [Result/Conclusion] The current data asset pricing methods applicable to grid corporations mainly include costing method, revenue approach, and market approach. It is recommended that the grid companies use the integrated method to weight the monetary value of data assets calculated by the costing method, market approach, and revenue approach.

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 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2023
ISBN
10.2991/978-2-38476-126-5_183
ISSN
2352-5398
DOI
10.2991/978-2-38476-126-5_183How 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  - Liyu Xia
AU  - Xinsheng Zhang
AU  - Jianfei Lu
PY  - 2023
DA  - 2023/10/31
TI  - Data Asset Pricing Model for Power Grid Corporations
BT  - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
PB  - Atlantis Press
SP  - 1628
EP  - 1636
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-126-5_183
DO  - 10.2991/978-2-38476-126-5_183
ID  - Xia2023
ER  -