DocumentCode :
648407
Title :
Advanced Load Forecast with hierarchical forecasting capability
Author :
Wei Guan ; Chung, K. ; Cheung, Kwok W. ; Xiaorong Sun ; Luh, Peter B. ; Michel, Laurent D. ; Corbo, Stephen
Author_Institution :
Alstom Grid, Inc., Redmond, WA, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Advanced Load Forecast (ALF) is a novel load forecast application that integrates different instances of Artificial Neural Network (ANN) forecast engines and generates load forecasts for multiple load locations at various hierarchical levels. The forecast results can be aggregated up and distributed down the hierarchical structure. The Artificial Neural Network forecast engine leverages the discrete wavelet transform approach and some techniques of forecast engine configuration are discussed in detail. The proposed ALF is applied to a real-life power system.
Keywords :
load forecasting; neural nets; power engineering computing; wavelet transforms; ALF; ANN forecast engines; advanced load forecast; artificial neural network forecast engine; discrete wavelet transform approach; hierarchical forecasting capability; hierarchical levels; hierarchical structure; load forecast application; multiple load locations; real-life power system; Artificial neural networks; Engines; Forecasting; Load forecasting; Load modeling; Weather forecasting; Artificial neural network; Data aggregation and distribution; Forecast engine configuration; Hierarchy model; Load forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672986
Filename :
6672986
Link To Document :
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