Clstm-ar-based multi-dimensional feature fusion for multi-energy load forecasting

HIGHLIGHTS

• who: Bowen Ren and colleagues from the University, Xining, China have published the Article: CLSTM-AR-Based Multi-Dimensional Feature Fusion for Multi-Energy Load Forecasting, in the Journal: Electronics 2022, 11, 3481. of /2022/
• what: To further improve the accuracy IES short-term the authors propose the Convolutional Neural Network the Long Short-Term Memory Network and AutoRegression (CLSTM-AR) combined with the multi-dimensional feature fusion (MFFCLA). The authors propose a CLSTM-AR multi-energy load-forecasting method based on multidimensional feature fusion. Since environmental factors have different degrees of influence on the . . .
  

   

  

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