Bootstrap prediction interval estimation for wind speed forecasting

Rachid Errouissi, Julian Cardenas-Barrera, Julian Meng, Eduardo Castillo-Guerra, Xun Gong, Liuchen Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

In this work we apply a bootstrap method to obtain probabilistic forecasts from past single-valued forecasts offered by a Numerical Weather Prediction model. The potential of the proposed method is assessed with real data from four wind farms in Eastern Canada. The methodology can be extended to other existing point forecasting methods.

Original languageEnglish
Title of host publication2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1919-1924
Number of pages6
ISBN (Electronic)9781467371506
DOIs
Publication statusPublished - Oct 27 2015
Externally publishedYes
Event7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada
Duration: Sep 20 2015Sep 24 2015

Publication series

Name2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conference

Conference7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Country/TerritoryCanada
CityMontreal
Period9/20/159/24/15

Keywords

  • bootstrap
  • prediction interval
  • probabilistic forecasting
  • uncertainty
  • wind energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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