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