Abstract
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.
Highlights
Electric power demand is closely related to economic and social development
From the perspective of macroeconomic early warning, Yu and Zhang (2020)[2] used the idea of signal light to build a foreign exchange reserve risk system in order to effectively monitor foreign exchange risk; Liu (2021)[3] constructed the early warning framework of China's Urban Smart supply chain based on the improved signal lamp model
Give early warning information according to the status of the signal light, and effectively provide suggestions for the development of smart supply chain for government departments; Yan et al (2021)[4] monitored and warned the macroeconomic operation based on support vector machine
Summary
Electric power demand is closely related to economic and social development. Electric power demand is regarded as the "barometer" and "thermometer" of macro-economy. The results show that the growth of China's service industry generally presents the characteristics of "slow growth and rapid decline" in the 21st century, which improves the early warning research of the service industry; Zhou et al (2021) [7]built an MF-MS-SW model that can analyze seasonal and monthly frequencies at the same time, selected the leading, consistent and lagging mixing sample data composed of 21 indicators, and built China mixing electric power prosperity index and early warning signal system. Sun (2021)[8] proposed and constructed a regional electric power prosperity early warning system based on multi-dimensional big data such as economy, energy, electric power and environment on the basis of analyzing common electric power prosperity indexes and early warning methods; the research on early warning index mostly starts from the macro-economy, so it often only includes various macroeconomic indicators in the selection of indicators, or studies the early warning system of different industries. According to the data indicators selected by China to establish the early warning index and the economic development of Hunan Province, the index system of Hunan macroeconomic early warning index is determined, as shown in table 1, with 15 data in total
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