3 papers
eess.SY2026
VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries
Yuchen Qi, Ye Guo, Yinliang Xu
The increasing penetration of renewable energy necessitates unlocking demand-side flexibility. While air conditioning (AC) systems offer significant thermal inertia, existing physi…
eess.SY2026
Curtail Renewables to Enhance Flexibility: A Regulated Forecast-based Dispatch Approach
Zhiyi Zhao, Ye Guo, Zhenjia Lin +1
This paper considers the flexibility degradation problem caused by excessive flexible ramping product (FRP) requirements with high variable energy resource (VER) penetration}. Base…
cs.LG2026
One-Shot Price Forecasting with Covariate-Guided Experts under Privacy Constraints
Ren He, Yinliang Xu, Jinfeng Wang +2
Forecasting in power systems often involves multivariate time series with complex dependencies and strict privacy constraints across regions. Traditional forecasting methods requir…