An Innovative Adaptive Threshold-Based BESS Controller Utilizing Deep Learning Forecast for Peak Demand Reductions

An Innovative Adaptive Threshold-Based BESS Controller Utilizing Deep Learning Forecast for Peak Demand Reductions

Battery-based energy storage systems (BESS) can be installed and controlled by a control strategy to reduce daily peak demands. Majority of the existing controllers for BESS is developed and studied on a simulation platform. Hence, an innovative adaptive threshold-based controller is developed and i...

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Bibliographic Details
Main Authors: MD Mahmudul Hasan, Yun Seng Lim, Lee Cheun Hau, Xie Cherng Miow, Jianhui Wong, Dylon Hao Cheng Lam, Nor Shahida Hasan, Hamzah B. Adlan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Battery-based energy storage system (BESS)
BESS controller
load forecasting
peak demand reduction
1D-CNN
Online Access:https://ieeexplore.ieee.org/document/11006055/
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https://ieeexplore.ieee.org/document/11006055/

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