Research on Maturity Evaluation of Energy Internet Big Data Ecosystem Based on Mathematical Statistical Model
- 10.2991/978-94-6463-034-3_30How to use a DOI?
- Energy Internet; big data; ecosystem; maturity; mathematical statistics model; evaluation system
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.
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Cite this article
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 -