Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method
Various algorithms predominantly use data-driven methods for forecasting building electricity consumption. Among them, algorithms that use deep learning methods and, long and short-term memory (LSTM) have shown strong prediction accuracy in numerous fields. However, the LSTM algorithm still has cert...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2021-08-01
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| Rangatū: | Energies |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/1996-1073/14/16/4785 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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