Transfer Learning Prediction Performance of Chillers for Neural Network Models
Building automation systems installed in large commercial buildings record sub-hourly measurements from hundreds of sensors. The use of such large datasets are challenging because of missing and erroneous data, which can prevent the development of accurate prediction models of the performance of hea...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2023-10-01
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| Edice: | Energies |
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| On-line přístup: | https://www.mdpi.com/1996-1073/16/20/7149 |
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