Methodologies for Load Forecasting

Author

Campbell, Piers R J ; Adamson, Ken

Author_Institution

Coll. of Inf. Technol., United Arab Emirates Univ., Al Ain

fYear

2006

fDate

Sept. 2006

Firstpage

800

Lastpage

806

Abstract

The ability to accurately forecast load is vitally important for the electric industry in a deregulated economy. Load forecasting has many applications including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. A large variety of methods have been developed for and applied to load forecasting. In this paper we examine various approaches to load forecasting, highlighting the importance of intelligent systems and explore the possible future directions of forecasting research

Keywords

knowledge based systems; load forecasting; power engineering computing; contract evaluation; electric industry; energy generation; energy purchasing; forecasting research; infrastructure development; intelligent systems; load forecasting; load switching; Artificial intelligence; Contracts; Economic forecasting; Fuzzy logic; Intelligent systems; Load forecasting; Power system modeling; Power system planning; Predictive models; Weather forecasting; Artificial Intelligence; Load Forecasting; Power Systems; Statistical Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2006 3rd International IEEE Conference on

Conference_Location

London

Print_ISBN

1-4244-01996-8

Electronic_ISBN

1-4244-01996-8

Type

conf

DOI

10.1109/IS.2006.348523

Filename

4155530