Ultra-short-term wind power interval prediction based on fluctuating process partitioning and quantile regression forest

HIGHLIGHTS

• who: Prediction Based on Fluctuating et al. from the (Northeast Electric Power University), Jilin, China, State Grid Jilin Electric Power Company Ltd, Changchun, China have published the research work: Ultra-Short-Term Wind Power Interval Prediction Based on Fluctuating Process Partitioning and Quantile Regression Forest, in the Journal: (JOURNAL) of 31/06/2019
• what: This paper combines the fluctuating characteristics of wind power and the advantages of QRF, and the authors propose an interval forecasting framework that considers the clustering division of fluctuating processes and QRF for the ultrashort-term time scale of wind power . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.