Abstract
The research is mainly based on the electricity consumption information of 800 key energy-consuming enterprises. By cleaning and sorting the data, high-frequency structured electricity consumption data is obtained, which is based on the production theory in economics. Using complex network models and Hidden Markov Algorithm constructs an industry prosperity index based on power operation data by industry, so as to objectively reflects the operation of various industries and plays a predictive and early warning role in economy.
Highlights
The energy industry is a pillar industry in the national economy
With the rapid development and popularization of computer and information technology, a large amount of meaningful data has been accumulated in the process of energy production, storage and use. If these data are used in conjunction with appropriate weather data, environmental data, and economic data, they can provide a favorable basis for analyzing user behavior, grasping the fluctuation rules of user behavior, obtaining urban energy usage, and improving environmental pollution
Analysis and mining of high-frequency energy measurement data, and the use of machine learning methods, the correlation between energy consumption and climate, social and economic factors is obtained, and the industrial industry prosperity index prediction model is established for multi-dimensional analysis
Summary
The energy industry is a pillar industry in the national economy. With the rapid development and popularization of computer and information technology, a large amount of meaningful data has been accumulated in the process of energy production, storage and use. Analysis and mining of high-frequency energy measurement data, and the use of machine learning methods, the correlation between energy consumption and climate, social and economic factors is obtained, and the industrial industry prosperity index prediction model is established for multi-dimensional analysis. These data on the one hand, it reflects the information of the power system, which helps to understand the energy supply and transmission pressure of this region; on the other hand, it helps to understand the electricity consumption behavior of users, so that their production can be analyzed, and it can be extended to environmental issues related to the national economy and people’s livelihood. This is of great significance both in theory and in reality
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