Hongbin Sun

Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention

Kailong Liu, Tianyu Hu, Huimin Ma, 2022, IEEE Transactions on Industrial Electronics.

Self-Attention-Based Machine Theory of Mind for Electric Vehicle Charging Demand Forecast

Kailong Liu, Tianyu Hu, Huimin Ma, 2022, IEEE Transactions on Industrial Informatics.

Sustainability Evaluation of Second-Life Battery Applications in Grid-Connected Pv-Battery Systems

Aihua Ran, Xuan Zhang, Guo-dan Wei, 2022, SSRN Electronic Journal.

Short-term electrical load forecasting method based on stacked auto-encoding and GRU neural network

Hongbin Sun, Kang Ke, Zhang Chengkang, 2019, Evolutionary Intelligence.

Electrochemical-Theory-Guided Modeling of the Conditional Generative Adversarial Network for Battery Calendar Aging Forecast

Kailong Liu, Tianyu Hu, Huimin Ma, 2023, IEEE Journal of Emerging and Selected Topics in Power Electronics.

A Transferred Recurrent Neural Network for Battery Calendar Health Prognostics of Energy-Transportation Systems

M. Fei, Kailong Liu, Huimin Ma, 2022, IEEE Transactions on Industrial Informatics.

Quantile forecast of renewable energy generation based on Indicator Gradient Descent and deep residual BiLSTM

Kailong Liu, Kang Li, Hongbin Sun, 2021 .

Convolution Denoising Regularized Auto Encoder Stacked Method for Coronary Acute Syndrome in Internet of Medical Things Platform

Zhongyu Wang, Tiechao Jiang, Hongbin Sun, 2020, IEEE Access.