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Si-Chang Xiao

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Open access 2026

Low-Carbon Day-Ahead Scheduling Strategy for Active Distribution Network Considering Flexible Response of V2G

: The high penetration of distributed renewable energy and flexible loads brings prominent challenges to the low-carbon economic dispatch of active distribution networks (ADNs). Existing vehicle-to-grid (V2G)-aided dispatch studies often fail to precisely characterize the bidirectional charging-discharging feasible reg...

Si-Chang Xiao, Tian-Tian Song, Si-Hang Qin et al. · 0 citations
Open access Aug 2026

Short-Term Electric Vehicle Charging Load Forecasting Based on Sample Entropy and CEEMDAN-TCN-BiGRU Hybrid Model

The large-scale integration of electric vehicles (EVs) brings significant challenges to power grid operation due to the strong nonlinearity and non-stationarity of charging loads. To address the limitations of existing methods in noise suppression and temporal feature extraction, this paper proposes a short-term EV cha...

Si-Chang Xiao, Tian-Tian Song, Si-Hang Qin et al. · 0 citations
Open access Jul 2026

Urban-CSTPNet: Time-Conditioned Multi-Relational Spatio-Temporal Probabilistic Forecasting for Smart Urban Electric Vehicle Charging Networks

This paper proposes Urban-CSTPNet, a multi-relational spatio-temporal probabilistic forecasting framework that confirms improved forecasting accuracy, probabilistic quality, and empirical interval reliability.

Li-Li Zheng, Hengrui Ma, Bo Wang et al. · 0 citations

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