Bootstrap prediction interval estimation for wind speed forecasting

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

doi:10.1109/ECCE.2015.7309931

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 proceeding › Conference contribution

31 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 language	English
Title of host publication	2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1919-1924
Number of pages	6
ISBN (Electronic)	9781467371506
DOIs	https://doi.org/10.1109/ECCE.2015.7309931
Publication status	Published - Oct 27 2015
Externally published	Yes
Event	7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada Duration: Sept 20 2015 → Sept 24 2015

Publication series

Name	2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conference

Conference	7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
Country/Territory	Canada
City	Montreal
Period	9/20/15 → 9/24/15

Keywords

bootstrap
prediction interval
probabilistic forecasting
uncertainty
wind energy

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/ECCE.2015.7309931

Cite this

Errouissi, R., Cardenas-Barrera, J., Meng, J., Castillo-Guerra, E., Gong, X., & Chang, L. (2015). Bootstrap prediction interval estimation for wind speed forecasting. In 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015 (pp. 1919-1924). Article 7309931 (2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2015.7309931

Bootstrap prediction interval estimation for wind speed forecasting. / Errouissi, Rachid; Cardenas-Barrera, Julian; Meng, Julian et al.
2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1919-1924 7309931 (2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Errouissi, R, Cardenas-Barrera, J, Meng, J, Castillo-Guerra, E, Gong, X & Chang, L 2015, Bootstrap prediction interval estimation for wind speed forecasting. in 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015., 7309931, 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1919-1924, 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015, Montreal, Canada, 9/20/15. https://doi.org/10.1109/ECCE.2015.7309931

Errouissi R, Cardenas-Barrera J, Meng J, Castillo-Guerra E, Gong X, Chang L. Bootstrap prediction interval estimation for wind speed forecasting. In 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1919-1924. 7309931. (2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015). doi: 10.1109/ECCE.2015.7309931

@inproceedings{ca5bdce90fe4410787adc35fa0f2d3e6,

title = "Bootstrap prediction interval estimation for wind speed forecasting",

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.",

keywords = "bootstrap, prediction interval, probabilistic forecasting, uncertainty, wind energy",

author = "Rachid Errouissi and Julian Cardenas-Barrera and Julian Meng and Eduardo Castillo-Guerra and Xun Gong and Liuchen Chang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 ; Conference date: 20-09-2015 Through 24-09-2015",

year = "2015",

month = oct,

day = "27",

doi = "10.1109/ECCE.2015.7309931",

language = "English",

series = "2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1919--1924",

booktitle = "2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015",

}

TY - GEN

T1 - Bootstrap prediction interval estimation for wind speed forecasting

AU - Errouissi, Rachid

AU - Cardenas-Barrera, Julian

AU - Meng, Julian

AU - Castillo-Guerra, Eduardo

AU - Gong, Xun

AU - Chang, Liuchen

PY - 2015/10/27

Y1 - 2015/10/27

N2 - 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.

AB - 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.

KW - bootstrap

KW - prediction interval

KW - probabilistic forecasting

KW - uncertainty

KW - wind energy

UR - http://www.scopus.com/inward/record.url?scp=84963594871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963594871&partnerID=8YFLogxK

U2 - 10.1109/ECCE.2015.7309931

DO - 10.1109/ECCE.2015.7309931

M3 - Conference contribution

AN - SCOPUS:84963594871

T3 - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

SP - 1919

EP - 1924

BT - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

Y2 - 20 September 2015 through 24 September 2015

ER -

Bootstrap prediction interval estimation for wind speed forecasting

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this