Jinhao Liang, Wenqian Jiang, Chenbei Lu, Chenye Wu. Joint Chance-constrained Unit Commitment: Statistically Feasible Robust Optimization with Learning-to-Optimize Acceleration. accepted by the IEEE Transactions on Power Systems, 2024

Jinhao Liang, Chenbei Lu, Wenqian Jiang, Chenye Wu. Few-shot Residential Load Forecasting Boosted by Learning to Ensemble. accepted by the 7th IEEE Conference on Energy Internet and Energy System Integration (EI2), 2023

Wenqian Jiang, Jinhao Liang, Chenbei Lu, Chenye Wu. Robust Online EV Charging Scheduling with Statistical Feasibility. accepted by the 62nd IEEE Conference on Decision and Control (CDC), 2023

Chenbei Lu, Jinhao Liang, Nan Gu, Haoxiang Wang and Chenye Wu. Manipulation-Proof Virtual Bidding Mechanism Design. accepted by the IEEE Transactions on Energy Markets, Policy and Regulation, 2023

Chenbei Lu, Jinhao Liang, Wenqian Jiang, Jiaye Teng and Chenye Wu. High-Resolution Probabilistic Load Forecasting: A Learning Ensemble Approach. accepted by the Journal of the Franklin Institute, 2023

Jinhao Liang, Wenqian Jiang, Chenye Wu. Effective Carbon Tax Learning via Cap and Trade. accepted by the 5th IEEE International Electrical and Energy Conference (CIEEC), 2022

Jinhao Liang

M.Phil Student in The Chinese University of Hong Kong, Shenzhen

Jinhao Liang