E3S Web of Conferences (Jan 2022)

Calculate of hunan industrial early warning index

  • Ren Lang,
  • Li Dan,
  • Zhou Junlin,
  • Liu Yongli

DOI
https://doi.org/10.1051/e3sconf/202234101022
Journal volume & issue
Vol. 341
p. 01022

Abstract

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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.

Keywords