Short-term demand forecasting method in power markets based on the ksvm-tcn-gbrt

HIGHLIGHTS

• who: Guang Yang and collaborators from the College of Information and Electrical Engineering, China Agricultural University, Beijing, China have published the research: Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT, in the Journal: Computational Intelligence and Neuroscience 3400 3000 2800 2600 2400 2200 0 of 30/04/2022
• what: In this paper, temperature and wind speed are proposed for measuring real-time demand class dissociative in the feature space. In this paper, the KSVM-TCN-GBRT parameter settings are shown in Table 2. In this paper, a multivariate TCN . . .
  

   

  

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