Solving the cold-start problem in short-term load forecasting using tree-based methods

HIGHLIGHTS

• who: Jihoon Moon et al. from the School of Electrical Engineering, Korea University, Anam-ro, Seongbuk-gu, Seoul, Korea have published the article: Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods, in the Journal: (JOURNAL) of 31/07/2018
• what: The authors propose a novel electric load forecasting scheme using the electric load data of diverse buildings. In the test set the authors compare the electric load of the target building with that of other buildings to select the MRF model that is the most similar to the target . . .
  

   

  

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