Title :
Methodologies for Load Forecasting
Author :
Campbell, Piers R J ; Adamson, Ken
Author_Institution :
Coll. of Inf. Technol., United Arab Emirates Univ., Al Ain
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;
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
DOI :
10.1109/IS.2006.348523