Evolutionary machine learning-based energy consumption prediction for the industry

HIGHLIGHTS

• who: Bahij Mouad et al. from the Engineering for Smart and Sustainable Systems Research, Mohammadia School of Engineers, Mohammed V University in Rabat, CNRS, UMR-8201, INSA HdF UPHF, Valenciennes, France have published the research: Evolutionary Machine Learning-Based Energy Consumption Prediction for the industry, in the Journal: (JOURNAL)
• what: The proposed models in this work include Multiple Linear Regression (MLR) Decision Tree (DT) Recurrent Neural Networks (RNN) and Gated Recurrent United (GRU) which are compared according to their performances criteria which help to find the best forecasting models. At present, in the paper , the . . .
  

   

  

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