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Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios
by
Liu, Yujing
, Niu, Dongxiao
, Du, Ruoyun
in
Analysis
/ Coal
/ coal demand forecast
/ Demand functions (Economics)
/ genetic algorithm optimization
/ Genetic algorithms
/ Least squares
/ least squares support vector machine
/ Mutation
/ Neural networks
/ Prediction theory
/ scenario analysis
/ Supply and demand
/ Support vector machines
2022
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Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios
by
Liu, Yujing
, Niu, Dongxiao
, Du, Ruoyun
in
Analysis
/ Coal
/ coal demand forecast
/ Demand functions (Economics)
/ genetic algorithm optimization
/ Genetic algorithms
/ Least squares
/ least squares support vector machine
/ Mutation
/ Neural networks
/ Prediction theory
/ scenario analysis
/ Supply and demand
/ Support vector machines
2022
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Do you wish to request the book?
Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios
by
Liu, Yujing
, Niu, Dongxiao
, Du, Ruoyun
in
Analysis
/ Coal
/ coal demand forecast
/ Demand functions (Economics)
/ genetic algorithm optimization
/ Genetic algorithms
/ Least squares
/ least squares support vector machine
/ Mutation
/ Neural networks
/ Prediction theory
/ scenario analysis
/ Supply and demand
/ Support vector machines
2022
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Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios
Journal Article
Forecast of Coal Demand in Shanxi Province Based on GA—LSSVM under Multiple Scenarios
2022
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Overview
Under the “carbon peaking and carbon neutrality” goal, Shanxi Province adjusts the power supply structure and promotes the development of a high proportion of new energy, which has a certain impact on the demand for thermal coal. Therefore, constructing a reasonable forecasting model for thermal coal demand can play a role in stabilizing coal supply and demand. This paper analyzes various factors related to coal demand, and uses Pearson coefficient to screen out six variables with strong correlation. Then, based on the scenario analysis method, combined with the “14th Five-Year Plan” of Shanxi Province, different scenarios of economic development and carbon emission reduction development are set. Finally, a multi-scenario GA–LSSVM forecasting model of thermal coal demand in Shanxi Province is constructed, and the future development trend of thermal coal demand in Shanxi Province is predicted. The results show that the demand for thermal coal is the largest in the mode of high-speed economic development and low emission reduction, and the demand for thermal coal is the lowest in the mode of low-speed economic development and strong emission reduction, which provides a scientific basis for the implementation of Shanxi Province’s thermal coal supply policy.
Publisher
MDPI AG
Subject
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