A Novel Three-Stage Battery Cell Anomaly Detection Approach for a Frequency Regulation-Energy Storage System in Edge-Cloud Computing

Lin, Yu-Hsiu; Tao, Jing; Shen, Ting-Yu

doi:10.1109/tec.2023.3319331

IEEE Trans. Energy Convers.

2024

DOI: 10.1109/tec.2023.3319331

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A Novel Three-Stage Battery Cell Anomaly Detection Approach for a Frequency Regulation-Energy Storage System in Edge-Cloud Computing

Yu-Hsiu Lin,

Jing Tao,

Ting-Yu Shen

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Cited by 3 publications

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A Novel Three-Stage Battery Cell Anomaly Detection Approach for a Frequency Regulation-Energy Storage System in Edge-Cloud Computing

Cited by 3 publications

References 26 publications

Multimonth-ahead data-driven remaining useful life prognostics of frequency regulation-battery energy storage systems in cell voltage inconsistency

Multimonth-ahead data-driven remaining useful life prognostics of frequency regulation-battery energy storage systems in cell voltage inconsistency

A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery

Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit

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