Pattern similarity-based methods for short-term load forecasting - Part 1: Principles
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- 作者：Grzegorz Dudek ; dudek@el.pcz.czest.pl" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Patterns of the seasonal cycles ; Short-term load forecasting ; Similarity-based methods of forecasting ; Time series with multiple seasonal cycles
- 刊名：Applied Soft Computing
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：37
- 期：Complete
- 页码：277-287
- 全文大小：1136 K
文摘
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Principles of the pattern similarity-based methods for STLF are described.
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Several functions mapping daily cycles of the load series into patterns are defined.
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Pattern similarity and features of the load time series are analyzed on examples.
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New approach simplifies the problem and enables us to develop effective STLF models.