4 papers
Topology-adaptive Estimation of Maximum Voltage Unbalance for Distribution Networks with Finite-sample Guarantee
Jinbao Wang, Jun Liu, Shiliang Zhang +2
High penetration of single-phase distributed power production and frequent topology changes can significantly increase voltage unbalance in distribution networks. Reliable probabil…
Ultra-short-term solar power forecasting by deep learning and data reconstruction
Jinbao Wang, Jun Liu, Shiliang Zhang +1
The integration of solar power has been increasing as the green energy transition rolls out. The penetration of solar power challenges the grid stability and energy scheduling, due…
Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Jinbao Wang, Shiliang Zhang, Jun Liu +2
Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyper…
Active learning for anti-disturbance dual control of unknown nonlinear systems
Xuehui Ma, Shiliang Zhang, Fucai Qian +2
This work concerns the control of unknown nonlinear systems corrupted by disturbances. For such systems, we propose an anti-disturbance dual control approach with active learning o…