Research on Industry Prosperity Index Forecast based on Hidden Markov Model
DOI:
https://doi.org/10.54691/bcpbm.v17i.390Keywords:
Complex Network Models; Hidden Markov Algorithm; Electricity Consumption Information; Power Operation Data; Economy.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.
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