Distributed, Neurodynamic-Based Approach for Economic Dispatch in an Integrated Energy System. - Zhongkai Yi; Yinliang Xu; Jiefeng Hu; Mo-Yuen Chow; Hongbin Sun 002 (IEEE Trans. Ind. Informatics, 2020)

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. - Kingsley Nweye; Zoltán Nagy 002; Sharada P. Mohanty; Dipam Chakraborty; Siva Sankaranarayanan; Tianzhen Hong; Sourav Dey; Gregor Henze; Ján Drgona; Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; et al. (NeurIPS (Competition and Demos), 2021)

Accelerated Distributed Hybrid Stochastic/Robust Energy Management of Smart Grids. - Xinyue Chang; Yinliang Xu; Wei Gu 004; Hongbin Sun 002; Mo-Yuen Chow; Zhongkai Yi (IEEE Trans. Ind. Informatics, 2021)

Aggregate Operation Model for Numerous Small-Capacity Distributed Energy Resources Considering Uncertainty. - Zhongkai Yi; Yinliang Xu; Wei Gu 004; Lun Yang; Hongbin Sun 002 (IEEE Trans. Smart Grid, 2021)

Distributed Power Sharing Control for Islanded Single-/Three-Phase Microgrids With Admissible Voltage and Energy Storage Constraints. - Jianguo Zhou; Hongbin Sun 002; Yinliang Xu; Renke Han; Zhongkai Yi; Liming Wang 002; Josep M. Guerrero (IEEE Trans. Smart Grid, 2021)

An Improved Two-Stage Deep Reinforcement Learning Approach for Regulation Service Disaggregation in a Virtual Power Plant. - Zhongkai Yi; Yinliang Xu; Xue Wang; Wei Gu 004; Hongbin Sun 002; Qiuwei Wu; Chenyu Wu (IEEE Trans. Smart Grid, 2022)

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. - Wei Jiang 027; Zhongkai Yi; Li Wang 134; Hanwei Zhang 002; Jihai Zhang 001; Fangquan Lin; Cheng Yang 008 (CIKM, 2023)

Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources. - Linwei Sang; Yinliang Xu; Zhongkai Yi; Lun Yang; Huan Long; Hongbin Sun 002 (CoRR, 2023)

Coordinated Dispatch of Energy Storage Systems in the Active Distribution Network: A Complementary Reinforcement Learning and Optimization Approach. - Bohan Zhang; Zhongkai Yi; Ying Xu; Zhenghong Tu (CoRR, 2024)

Noise-Aware Bayesian Optimization Approach for Capacity Planning of the Distributed Energy Resources in an Active Distribution Network. - Ruizhe Yang; Zhongkai Yi; Ying Xu; Dazhi Yang; Zhenghong Tu (CoRR, 2024)

A Low-Carbon Economic Dispatch Method for Power Systems With Carbon Capture Plants Based on Safe Reinforcement Learning. - Qian Wang 047; Xueguang Zhang; Ying Xu; Zhongkai Yi; Dianguo Xu 001 (IEEE Trans. Ind. Informatics, 2024)

Source-Load Collaborative Frequency Control With Real-Time Optimality in Power Networks. - Chenyu Wu; Zhi Wu; Wei Gu 004; Zhongkai Yi; Chen Xi; Zhengkun Shi (IEEE Trans. Smart Grid, 2025)

Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions. - Ruizhe Yang; Zhongkai Yi; Ying Xu; Guiyu Chen; Haojie Yang; Rong Yi; Tongqing Li; Miaozhe ShenJin Li; Haoxiang Gao; Hongyu Duan (CoRR, 2025)

Design and Stability of Market-Oriented Frequency Regulation in Power Systems With CHP Units and Renewable Sources. - Chenyu Wu; Zhi Wu; Wei Gu 004; Zhongkai Yi; Xi Chen; Qiwei Chen (IEEE Trans. Ind. Informatics, 2025)