Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting
Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric companies can now use historical data to make informed decisions on energy production by forecasting the expected demand. Many deep learning models have been proposed to deal w...
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2020-03-01
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| Schriftenreihe: | Applied Sciences |
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| Online Zugang: | https://www.mdpi.com/2076-3417/10/7/2322 |