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Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurately estimating the state of charge (SOC) of batteries is crucial for the objective of extending battery life and enhancing power supply reliability. Currently, machine learning methods are commonly used to predict ...
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