| Issue |
E3S Web Conf.
Volume 341, 2022
2022 7th International Conference on Green Materials and Environmental Engineering (GMEE2022)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202234101022 | |
| Published online | 31 January 2022 | |
Calculate of hunan industrial early warning index
1 State Grid Hunan Zhangjiajie power supply company, Zhangjiajie, China
2 State Grid Hunan Yiyang power supply company, Yiyang, China
3 School of economics and trade, Hunan University, Changsha, China
* Corresponding author: 2534331171@qq.com
Electric Power data has the characteristics of strong real-time, fine granularity and high accuracy. It can more accurately reflect the current industrial structure and is suitable for the monitoring of high-quality economic development. In order to better play the role of power data monitoring and early warning, based on the prosperity signal lamp method, combining the principle of mathematical probability method, the early warning index system of electric power economic monitoring is constructed. The results show that the index can monitor the power situation of Hunan Province, and can be used in the construction of green energy and promote the energy conservation and high-quality economic development of Hunan Province.
Key words: Power economy early warning index / Early warning monitoring / Hunan Province
© The Authors, published by EDP Sciences, 2022
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