activity
20192026
most citedDistrict Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning

5 citations · 14 across the 7 of their papers we have counts for

collaborators

8 papers

eess.SP2026

Sensing for Reliable UAV Communication: Robust Trajectory and Resource Optimization in Low-Altitude Networks

Yifan Jiang, Qingqing Wu, Hongxun Hui +3

In low-altitude wireless networks, sensing-aided communication has emerged as a promising integrated sensing and communication (ISAC) paradigm for unmanned aerial vehicle (UAV) tra…

eess.SP2025

Low-Altitude UAV Tracking via Sensing-Assisted Predictive Beamforming

Yifan Jiang, Qingqing Wu, Hongxun Hui +2

Sensing-assisted predictive beamforming shows significant promise for enhancing various future unmanned aerial vehicle (UAV) applications in integrated sensing and communication (I…

eess.SP2024★ 1 cited

Energy-Aware UAV-Enabled Target Tracking: Online Optimization with Location Constraints

Yifan Jiang, Qingqing Wu, Wen Chen +1

For unmanned aerial vehicle (UAV) trajectory design, the total propulsion energy consumption and initial-final location constraints are practical factors to consider. However, unli…

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…

math.OC2022

Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification

Ge Chen, Hongcai Zhang, Hongxun Hui +1

Heating, ventilation, and air-conditioning (HVAC) systems are ideal demand-side flexible resources to provide regulation services. However, finding the best hourly regulation capac…

eess.SY2021★ 5 cited

District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning

Peipei Yu, Hongxun Hui, Hongcai Zhang +2

Heating, ventilation, and air conditioning (HVAC) systems are well proved to be capable to provide operating reserve for power systems. As a type of large-capacity and energy-effic…

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…

math.OC2019★ 4 cited

Multi-state Operating Reserve Model of Aggregate Thermostatically-Controlled-Loads for Power System Short-Term Reliability Evaluation

Yi Ding, Wenqi Cui, Shujun Zhang +3

Thermostatically-controlled-loads (TCLs) have been regarded as a good candidate for maintaining the power system reliability by providing operating reserve. The short-term reliabil…