3 citations · 5 across the 3 of their papers we have counts for
3 papers
math.OC2022★ 1 cited
Efficient constraint learning for data-driven active distribution network operation
Ge Chen, Hongcai Zhang, Yonghua Song
Scheduling flexible sources to promote the integration of renewable generation is one fundamental problem for operating active distribution networks (ADNs). However, existing works…
math.OC2022★ 1 cited
Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation
Ge Chen, Hongcai Zhang, Hongxun Hui +1
Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool to manage uncertainties from distributed renewable generation. However, most existing works are based on p…
eess.SY2021★ 3 cited
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach
Ge Chen, Hongcai Zhang, Hongxun Hui +1
The integration of distributed renewable generation (DRG) in distribution networks can be effectively promoted by scheduling flexible resources such as heating, ventilation, and ai…