Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Research on Maturity Evaluation of Energy Internet Big Data Ecosystem Based on Mathematical Statistical Model

Authors
Haixu Song1, *, Xiaofeng Zhan1, Rui Li1
1Department of Corporate Strategy, State Grid Energy Research Institute Co., Ltd., Beijing, China
*Corresponding author. Email: shxstudent@126.com
Corresponding Author
Haixu Song
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_30How to use a DOI?
Keywords
Energy Internet; big data; ecosystem; maturity; mathematical statistics model; evaluation system
Abstract

The energy revolution and the digital revolution are integrated deeply. The creation of an Energy Internet big data ecosystem has gradually become a trend. The paper builds an evaluation system for the maturity of the Energy Internet big data ecosystem from the dimensions of ecological subject, key data, and overall environment. And then it uses big data capture, grade evaluation, tomographic analysis, mathematical statistics and other models, to propose the evaluation method of the Energy Internet big data ecosystem maturity. Finally, it takes Region A as an example to carry out an empirical analysis on the maturity of its energy internet big data ecosystem. The analysis found that the maturity of the energy Internet big data ecosystem in Region A is generally average and needs to be improved. Especially in terms of key data, there are still major deficiencies in data types and data quality. The degree of data sharing and mining has great room for improvement. The paper can provide reference for the digital transformation of energy and power companies and the energy industry innovative development.

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 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
978-94-6463-034-3
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_30How 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  - Haixu Song
AU  - Xiaofeng Zhan
AU  - Rui Li
PY  - 2022
DA  - 2022/12/23
TI  - Research on Maturity Evaluation of Energy Internet Big Data Ecosystem Based on Mathematical Statistical Model
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 294
EP  - 304
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_30
DO  - 10.2991/978-94-6463-034-3_30
ID  - Song2022
ER  -