3 papers
eess.SY2026
Deployment-Efficient Short-Term Load Forecasting in AI Data Centers via Sequence-to-Point Knowledge Distillation
Lei Wang, Jiahao Chen, Fanping Sui +2
Accurately forecasting the bursty and non-stationary power demand of AI data centers has become increasingly important, as abrupt workload-driven variations at the GPU-node level c…
eess.SY2026
Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers
Ziying Wang, Ying Zhang, Lei Wang +1
Short-term load forecasting for AI data centers presents new challenges because it is computing-driven, with heterogeneous job arrivals, sizes, and durations exhibiting bursty, non…
eess.SY2026
Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions
Lei Wang, Ying Zhang, Di Shi +1
Accurately characterizing wind power uncertainty under icing and post-disaster conditions remains a critical challenge for resilient power system operation. To address this issue,…