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Optimal ESS Scheduling for Peak Shaving of Building Energy Using Accuracy-Enhanced Load Forecast
This paper proposes an optimal Energy Storage System (ESS) scheduling algorithm Building Energy Management System (BEMS). In particular, the focus is placed on how to reduce the peak load using ESS and load forecast. To this end, first, an existing deep learning-based load forecast method is applied...
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Autori principali: | , , , |
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Natura: | Artigo |
Lingua: | Inglês |
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MDPI AG
2020-10-01
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Serie: | Energies |
Soggetti: | |
Accesso online: | https://www.mdpi.com/1996-1073/13/21/5633 |
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