Author

Chenglin Ding

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Open access Sep 2026

A Hybrid VMD–GWO–BiLSTM–Attention Framework for Accurate State-of-Health Prediction of Lithium-Ion Batteries Under Complex Degradation Dynamics

Experimental results demonstrate that the proposed VMD–GWO–BiLSTM–Attention framework achieves enhanced prediction accuracy compared to standard baseline temporal models (LSTM, GRU, and Transformer) across all evaluated degradation profiles.

Cheng-Lin Ding, Hui Liu, En-Ze Hu et al. · Electronics · 0 citations

Open access Jul 2026

A Spatio-Temporal Attention Model for Short-Term Load Forecasting of Urban Electric-Vehicle Charging Stations and an Empirical Study of Spatial-Modeling Effectiveness

ST-Attention, a lightweight and modular forecasting model that integrates temporal self-attention, spatial self-attention, an adjacency-matrix bias, and a residual prediction head is proposed, which forecasts hourly regional charging energy using the open UrbanEV benchmark dataset from September 2022 to February 2023.

Wei Gao, Cheng-Lin Ding, Mingji Chen et al. · Energies · 0 citations