Pattern-based local linear regression models for short-term load forecasting
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- 作者：Grzegorz Dudek ; dudek@el.pcz.czest.pl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Linear regression ; Partial least-squares regression ; Patterns of seasonal cycles ; Short-term load forecasting ; Time series
- 刊名：Electric Power Systems Research
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：130
- 期：Complete
- 页码：139-147
- 全文大小：945 K
文摘
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Linear regression models for pattern-based short-term load forecasting are proposed.
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Forecasting time series with multiple seasonal cycles is simplified when using patterns.
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The local nature of the models leads to their simplification and accuracy improvement.
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Principal component and partial least-squares regressions gave best results in STLF.