Hybrid short-term load forecasting scheme using random forest and multilayer perceptron “2279

HIGHLIGHTS

• who: Jihoon Moon et al. from the School of Electrical Engineering, Korea University, Anam-ro, Seongbuk-gu, Seoul, Korea have published the Article: Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron "2279, in the Journal: (JOURNAL) of 29/Nov/2017
• what: Through various experiments the authors show that the hybrid forecast model performs better than other popular single forecast models. This approach has the disadvantages that it is dependent on a designer's expertise and exhibits low versatility . The mTry values used for this study provided by scikit-learn are as . . .
  

   

  

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