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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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Auteurs principaux: Jin Sol Hwang, Ismi Rosyiana Fitri, Jung-Su Kim, Hwachang Song
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-10-01
Collection:Energies
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Accès en ligne:https://www.mdpi.com/1996-1073/13/21/5633
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