Exploring the nuances of energy data in Python
Energy companies forecast energy demand for their customers using time series and forecasting models to drive business decisions and insights. One of the keys to forecasting well is exploring your data. Here, Aric LaBarr explores some energy data to discover all the nuances we need for forecasting!.
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| Formato: | Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Manning Publications
[2021]
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| Edición: | [First edition] |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009823035806719 |
| Sumario: | Energy companies forecast energy demand for their customers using time series and forecasting models to drive business decisions and insights. One of the keys to forecasting well is exploring your data. Here, Aric LaBarr explores some energy data to discover all the nuances we need for forecasting!. |
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| Descripción Física: | 1 online resource (1 video file (47 min.)) : sound, color |
