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cs.CE2026
Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling
Haoyu Yan, Shutong Ding, Jiebao Zhang +5
The rapid proliferation of Electric Vehicles (EVs) introduces significant spatio-temporal uncertainties into power grids, while Vehicle-to-Grid (V2G) technology offers critical fle…
cs.CE2026
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers
Siqi Yan, Jiebao Zhang, Xi Yao +2
The surge of GPU-intensive workloads in artificial intelligence (AI) data centers drives massive energy demands, leading to soaring costs and significant stress on local power dist…
cs.CE2024
Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System
Pengchao Tian, Siqi Yan, Bikang Pan +1
With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV scheduling control strategies…