Prediction of carbon trading rights prices in the energy industry based on EMD-LSTM
Tan Xuhong
Abstract：Carbon trading rights refer to the restrictions on the total amount of greenhouse gas emissions that enterprises or institutions can emit within a certain time frame and are traded and transferred through market mechanisms to achieve effective control of greenhouse gas emissions.With the development and maturity of the carbon trading market,the accuracy of predicting carbon trading rights prices is of great significance to relevant stakeholders.To predict the future trend of carbon trading rights prices and verify the accuracy of the model using historical data,this paper conducts research on the prediction of carbon trading rights prices for energy enterprises based on the EMD-LSTM method.In terms of methods,compared with RNN and LSTM models,the EMD-LSTM model has more advantages in this prediction,with R2 values of 0.617 7,0.950 4,and 0.955 2,respectively.When processing time series data and making predictions,the EMD-LSTM model has higher prediction accuracy.
Keywords：energy industrycarbon trading rightsEMD-LSTM prediction modelprice prediction
Publication Date：2024-01-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 32-39 )