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! ]

Forecasting the short-term demand for electricity: Do neural networks stand a better chance?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Darbellay, Georges A.
Slama, Marek
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/B6V92-4183JKT-5/2/f7d83b5c333660597214795b12d21c1b
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): 16 (2000)
Issue (Month): 1 ()
Pages: 71-83
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:16:y:2000:i:1:p:71-83

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. Souza, Leonardo Rocha & Soares, Lacir Jorge, 2003. "Forecasting Electricity Load Demand: Analysis of the 2001 Rationing Period in Brazil," Economics Working Papers (Ensaios Economicos da EPGE) 491, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  2. Soares, Lacir Jorge & Souza, Leonardo Rocha, 2003. "Forecasting Electricity Demand Using Generalized Long Memory," Economics Working Papers (Ensaios Economicos da EPGE) 486, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2009-12-30.

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.