This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

A comparison of univariate methods for forecasting electricity demand up to a day ahead

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Taylor, James W.
de Menezes, Lilian M.
McSharry, Patrick E.

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V92-4HM82DH-2/2/72d0a6d4d66f9dbab0daaad8a3d825b2
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 22 (2006)
Issue (Month): 1 ()
Pages: 1-16
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:intfor:v:22:y:2006:i:1:p:1-16

Contact details of provider:
Web page: http://www.elsevier.com/locate/ijforecast

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Jose Ramon Cancelo & Antoni Espasa & Rosemarie Grafe, 2007. "Forecasting from one day to one week ahead for the Spanish system operator," Statistics and Econometrics Working Papers ws078418, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
  2. V. Dordonnat & S.J. Koopman & M. Ooms & A. Dessertaine & J. Collet, 2008. "An Hourly Periodic State Space Model for Modelling French National Electricity Load," Tinbergen Institute Discussion Papers 08-008/4, Tinbergen Institute. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? Each page is provided with a technical contact, in case something is not right with the supplied information. See under "publisher info".

This page was last updated on 2009-12-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.