Electricity consumption forecasting using singular spectrum analysis
Singular Spectrum Analysis (SSA) is a non-parametric technique that allows the decomposition of a time series into signal and noise. Thus, it is a useful technique to trend extraction, smooth and filter a time series. The effect on performance of both Box and Jenkins' and Holt-Winters models when ap...
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| 出版年: | Dyna |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Universidad Nacional de Colombia
2015
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| 主題: | |
| オンライン･アクセス: | https://www.redalyc.org/articulo.oa?id=49637154018 |
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