An autonomous operation microgrid for rural electrification. - Zhaohao Ding; Meng Liu; Wei-Jen Lee; David A. Wetz (IAS, 2013)

An integrated three-level transformer condition assessment model based on optimal weights and uncertainty theory. - Yongliang Liang; Kejun Li; Lin Niu; Jianguo Zhao; Wei-Jen Lee; Zhaohao Ding; Jingguo Ren; Hongxia Gao (IAS, 2013)

Stochastic resource planning strategy to improve the efficiency of microgrid operation. - Zhaohao Ding; Wei-Jen Lee; Juanjuan Wang (IAS, 2014)

A coordination control strategy of voltage source converter based MTDC for offshore wind farms. - Jingguo Ren; Kejun Li; Lijun Sun; Jianguo Zhao; Yongliang Liang; Wei-Jen Lee; Zhaohao Ding; Ying Sun (IAS, 2014)

Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features. - Jie Shi; Zhaohao Ding; Wei-Jen Lee; Yongping Yang; Yongqian Liu; Mingming Zhang (IEEE Trans. Smart Grid, 2014)

Optimal operation strategy of an industrial plant under deregulated electricity market. - Meng Yang; Lizi Zhang; Zhaohao Ding; Wei-Jen Lee (IAS, 2017)

Integrated Stochastic Energy Management for Data Center Microgrid Considering Waste Heat Recovery. - Zhaohao Ding; Yujie Cao; Liye Xie; Ying Lu; Peng Wang (IAS, 2018)

Emission-Aware Microgrid Cluster Energy Management Scheme: A Distributed Trading Approach. - Yu Cheng; Jie Wang; Feng Zhu; Zhaohao Ding (IAS, 2019)

Multi-time scale coordinated scheduling for the combined system of wind power, photovoltaic, thermal generator, hydro pumped storage and batteries. - Shiwei Xia; Zhaohao Ding; Ting Du; Dongying Zhang; Hao Yin (IAS, 2019)

A Real-time Alternating Direction Method of Multipliers Algorithm for Non-convex Optimal Power Flow Problem. - Hao Yin; Zhaohao Ding; Dongying Zhang; Shiwei Xia; Du Ting (IAS, 2019)

Flexible Multi-Energy Scheduling Scheme for Data Center to Facilitate Wind Power Integration. - Peng Wang; Yujie Cao; Zhaohao Ding (IEEE Access, 2020)

Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning. - Yanchang Liang; Zhaohao Ding; Tao Ding; Wei-Jen Lee (IEEE Trans. Smart Grid, 2021)

Resilience-Oriented Energy Management for All-Electric Ships Considering Safe Return. - Annie Lin; Shuli Wen; Miao Zhu; Zhaohao Ding; Tao Ding (IAS, 2022)

Quality-of-Service Aware Battery Swapping Navigation and Pricing for Autonomous Mobility-on-Demand System. - Zhaohao Ding; Wenrui Tan; Wenbing Lu; Wei-Jen Lee (IEEE Trans. Ind. Informatics, 2022)

Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System. - Ying Lu; Yanchang Liang; Zhaohao Ding; Qiuwei Wu; Tao Ding; Wei-Jen Lee (IEEE Trans. Smart Grid, 2022)

Overvoltage Suppression Strategy After Short Circuit Faults Applied to PV Systems. - Hongjin Fan; Kaiqi Sun; Zhaohao Ding; Zhengfa Zhang; Wei Qiu 002; Yuqing Dong; Yuanyuan Sun 001 (IAS, 2023)

Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy. - Yidian Gao; Kaiqi Sun; Wei Qiu 002; Zhaohao Ding; Ke-Jun Li; Yahui Li (IAS, 2023)

On Voltage Regulation via Ride-Hailing Fleet Management. - Zixiao Dou; Zhaohao Ding (iSPEC, 2023)

Charging Cost-Aware Fleet Management for Shared On-Demand Green Logistic System. - Yuan Huang; Zhaohao Ding; Wei-Jen Lee (IEEE Internet Things J., 2023)

Congestion-Aware Dynamic Optimal Traffic Power Flow in Coupled Transportation Power Systems. - Tianyang Zhao; Haoyuan Yan; Xiaochuan Liu; Zhaohao Ding (IEEE Trans. Ind. Informatics, 2023)

Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning. - Yanchang Liang; Zhaohao Ding; Tianyang Zhao; Wei-Jen Lee (IEEE Trans. Smart Grid, 2023)

Risk-Aware Operation Modeling for Ride-Hailing Fleet in Order Grabbing Mode: A Distributional Reinforcement Learning Approach. - Yimeng Sun; Zhaohao Ding; Zechun Hu; Wei-Jen Lee (IEEE Trans. Smart Grid, 2023)

Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks. - Dawei Qiu; Yi Wang 065; Zhaohao Ding; Yi Wang 022; Goran Strbac (IEEE Trans. Smart Grid, 2024)

Risk-Aware Energy Management of Data Center via Job Scheduling. - Zhaohao Ding; Zhenkun Zhao; Yimeng Sun; Xinran Li; Xuan Wei (IAS, 2025)

Dynamic Clustering Enhanced Ensemble Learning for Distributed Photovoltaic Power Forecasting. - Xinyu Duan; Yehan Wang; Yimeng Sun; Zixiao Dou; Xinran Li; Xuan Wei; Zhaohao Ding (IAS, 2025)

Discriminative Flexibility Pricing for Virtual Power Plants Under Uncertainty. - Jinli Sun; Xuan Tong; Yibo Cui; Muchao Xiang; Hexin Qv; Wei Yang; Xuan Wei; Zhaohao Ding (IAS, 2025)

Probabilistic Forecasting for Flexible Regulation Capability in Electric Vehicles-Aggregated Virtual Power Plants. - Yehan Wang; Zaixun Ling; Jinli Sun; Wei Bi; Yibo Cui; Manjia Liu; Jiayao Chen; Xuan Wei; Zhaohao Ding (IAS, 2025)

Pricing Temporal Flexibility of Data Center Jobs with Heterogeneous Time Constraints. - Wei Yang; Hexin Qv; Xuan Wei; Zhaohao Ding (IAS, 2025)

Special Section on Integrated Operation, Planning, and Business Paradigm for Coupled Energy, Transportation, and Information Networks. - Wei-Jen Lee; Yujian Ye; Zhaohao Ding; Mahnoosh Alizadeh; Antonio de Paola; Dimitrios Papadaskalopoulos; Yunzhi Cheng; Goran Strbac; Ning Lu 002 (IEEE Trans. Smart Grid, 2025)

Privacy-Preserving Energy Sharing Among Cloud Service Providers via Collaborative Job Scheduling. - Yimeng Sun; Zhaohao Ding; Yuejun Yan; Zhaoyang Wang; Payman Dehghanian; Wei-Jen Lee (IEEE Trans. Smart Grid, 2025)

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers. - Yimeng Sun; Zhaohao Ding; Payman Dehghanian; Fei Teng (CoRR, 2025)