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A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Taiwan Shimen Reservoir as...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700551/ https://www.ncbi.nlm.nih.gov/pubmed/29250110 http://dx.doi.org/10.1155/2017/8734214 |