Short term power load forecasting based on bes-vmd and cnn-bi-lstm method with error correction

HIGHLIGHTS

• who: BES and colleagues from the (PME.C), India VIT University, India have published the article: Short term power load forecasting based on BES-VMD and CNN-Bi-LSTM method with error correction, in the Journal: (JOURNAL) of 29/Nov/2006
• what: The research shows that if the prediction error is reduced by 1%, a 10 GW power station may save $1.6 million per year (Hobbs et_al, 1999).
• how: At last the final load forecasting results are obtained and further improve the short-term load forecasting effect. The above 1000 time series . . .
  

   

  

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