GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models

Virginie Dordonnat; Audrey Pichavant; Amandine Pierrot

doi:10.1016/j.ijforecast.2015.11.010

GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models

Virginie Dordonnat, Audrey Pichavant, Amandine Pierrot

Department of Mathematical Sciences

EDF R&D

Research output: Contribution to journal › Article › peer-review

47 Citations (SciVal)

Abstract

This paper describes the forecasting methodology used by the team ADADA in the load forecasting track of GEFCom2014. The approach includes a semi-parametric regression model for point load forecasting, a multivariate time series simulation model for temperature forecasting, and a resampling strategy for building probabilistic forecasts from point load forecast residuals.

Original language	English
Pages (from-to)	1005-1011
Journal	International Journal of Forecasting
Volume	332
Issue number	3
DOIs	https://doi.org/10.1016/j.ijforecast.2015.11.010
Publication status	Published - 30 Sept 2016

Access to Document

10.1016/j.ijforecast.2015.11.010

Cite this

@article{c3a6f3c26c9a498baf0127da3b869b07,

title = "GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models",

abstract = "This paper describes the forecasting methodology used by the team ADADA in the load forecasting track of GEFCom2014. The approach includes a semi-parametric regression model for point load forecasting, a multivariate time series simulation model for temperature forecasting, and a resampling strategy for building probabilistic forecasts from point load forecast residuals.",

author = "Virginie Dordonnat and Audrey Pichavant and Amandine Pierrot",

year = "2016",

month = sep,

day = "30",

doi = "10.1016/j.ijforecast.2015.11.010",

language = "English",

volume = "332",

pages = "1005--1011",

journal = "International Journal of Forecasting",

issn = "0169-2070",

publisher = "Elsevier B.V.",

number = "3",

}

TY - JOUR

T1 - GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models

AU - Dordonnat, Virginie

AU - Pichavant, Audrey

AU - Pierrot, Amandine

PY - 2016/9/30

Y1 - 2016/9/30

N2 - This paper describes the forecasting methodology used by the team ADADA in the load forecasting track of GEFCom2014. The approach includes a semi-parametric regression model for point load forecasting, a multivariate time series simulation model for temperature forecasting, and a resampling strategy for building probabilistic forecasts from point load forecast residuals.

AB - This paper describes the forecasting methodology used by the team ADADA in the load forecasting track of GEFCom2014. The approach includes a semi-parametric regression model for point load forecasting, a multivariate time series simulation model for temperature forecasting, and a resampling strategy for building probabilistic forecasts from point load forecast residuals.

UR - https://www.scopus.com/pages/publications/84956619770

U2 - 10.1016/j.ijforecast.2015.11.010

DO - 10.1016/j.ijforecast.2015.11.010

M3 - Article

SN - 0169-2070

VL - 332

SP - 1005

EP - 1011

JO - International Journal of Forecasting

JF - International Journal of Forecasting

IS - 3

ER -

GEFCom2014 probabilistic electric load forecasting using time series and semi-parametric regression models

Abstract

Access to Document

Other files and links

Fingerprint

Cite this