E3S Web Conf.
Volume 341, 20222022 7th International Conference on Green Materials and Environmental Engineering (GMEE2022)
|Number of page(s)||5|
|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: firstname.lastname@example.org
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.