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A smooth transition periodic autoregressive (STPAR) model for short-term load forecasting

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Author Info
Amaral, Luiz Felipe
Souza, Reinaldo Castro
Stevenson, Maxwell
Abstract

This paper compares the short-term load performance of several forecasting models, including a new class of nonlinear models known as smooth transition periodic autoregressive (STPAR) models. A model building procedure is developed for the STPAR model, along with a linearity test against smooth transition periodic autoregressive behaviour. The predictive ability of the STPAR model is evaluated against alternative load forecasting models using load data from the Australian electricity market.

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File URL: http://www.sciencedirect.com/science/article/B6V92-4TRR8MR-1/2/618a77b74c0807633c05ea7d1be853f5
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Publisher Info
Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 24 (2008)
Issue (Month): 4 ()
Pages: 603-615
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Handle: RePEc:eee:intfor:v:24:y:2008:i:4:p:603-615

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Web page: http://www.elsevier.com/locate/ijforecast

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Related research
Keywords: Time series Periodic and autoregressive models STAR model Load forecast;

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