Stacked Boosters Network Architecture for Short-Term Load Forecasting in Buildings
This paper presents a novel deep learning architecture for short-term load forecasting of building energy loads. The architecture is based on a simple base learner and multiple boosting systems that are modelled as a single deep neural network. The architecture transforms the original multivariate t...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2020-05-01
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| Schriftenreihe: | Energies |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/1996-1073/13/9/2370 |
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