Estimating missing data in historic series of global radiation through neural network algorithms
Managing meteorological data is usual to find incomplete data of time series in some intervals; the issue is addresses commonly using the autoregressive integrated moving average (ARIMA) or the method by regression analysis (interpolation), both with certain limitations under particular condition...
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| 發表在: | Sistemas & Telemática |
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| Principais autores: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Universidad ICESI
2016
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| 主題: | |
| 在線閱讀: | https://www.redalyc.org/articulo.oa?id=411546577001 |
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