Accelerating bio-inspired optimizer with transfer reinforcement learning for reactive power optimization. - Xiaoshun Zhang; Tao Yu 002; Bo Yang 046; Lefeng Cheng (Knowl. Based Syst., 2017)

Nash Equilibrium-Based Asymptotic Stability Analysis of Multi-Group Asymmetric Evolutionary Games in Typical Scenario of Electricity Market. - Lefeng Cheng; Tao Yu 002 (IEEE Access, 2018)

Exploration and Exploitation of New Knowledge Emergence to Improve the Collective Intelligent Decision-Making Level of Web-of-Cells With Cyber-Physical-Social Systems Based on Complex Network Modeling. - Lefeng Cheng; Tao Yu 002 (IEEE Access, 2018)

Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow. - Xiaoshun Zhang; Tao Yu 002; Lexin Guo; Bo Yang 046; Yixuan Chen 004 (IEEE Access, 2018)

Multi-Agent Bargaining Learning for Distributed Energy Hub Economic Dispatch. - Xiaoshun Zhang; Tao Yu 002; Zhiyi Zhang; Jianlin Tang (IEEE Access, 2018)

Perturbation observer-based adaptive passive control for nonlinear systems with uncertainties and disturbances. - Bo Yang 046; Lin Jiang 001; Ck Zhang; Yy Sang; Tao Yu 002; Qh Wu (Trans. Inst. Meas. Control, 2018)

Consensus Transfer Q-Learning for Decentralized Generation Command Dispatch Based on Virtual Generation Tribe. - Xiaoshun Zhang; Qing Li; Tao Yu 002; Bo Yang 046 (IEEE Trans. Smart Grid, 2018)

Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview. - Lefeng Cheng; Tao Yu 002 (IEEE Access, 2019)

Energy Internet Access Equipment Integrating Cyber-Physical Systems: Concepts, Key Technologies, System Development, and Application Prospects. - Lefeng Cheng; Tao Yu 002; Haorong Jiang; Shouyuan Shi; Zhukui Tan; Zhiyi Zhang (IEEE Access, 2019)

Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems. - Linfei Yin; Bin Zhang; Tao Yu 002; Lvpeng Chen; Baomin Zheng (IEEE Access, 2019)

Parallel Cyber-Physical-Social Systems Based Smart Energy Robotic Dispatcher and Knowledge Automation: Concepts, Architectures, and Challenges. - Lefeng Cheng; Tao Yu 002; Xiaoshun Zhang; Bo Yang 046 (IEEE Intell. Syst., 2019)

Development and application research of smart distribution district based on IDTT-B new-type transformer terminal unit. - Aidong Xu; Lefeng Cheng; Xiaobin Guo; Ganyang Jian; Tao Yu 002; Wenxiao Wei; Li Yu (Int. J. Inf. Commun. Technol., 2019)

Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems. - Linfei Yin; Tao Yu 002; Bo Yang 046; Xiaoshun Zhang (Neurocomputing, 2019)

Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants. - Yixuan Chen 004; Tao Yu 002; Bo Yang 046; Xiaoshun Zhang; Kaiping Qu (IEEE Trans. Ind. Informatics, 2019)

Optimal power tracking of doubly fed induction generator-based wind turbine using swarm moth-flame optimizer. - L. N. Huang; Bo Yang 046; Xiaoshun Zhang; Linfei Yin; Tao Yu 002; Z. H. Fang (Trans. Inst. Meas. Control, 2019)

Sliding-mode perturbation observer-based sliding-mode control design for stability enhancement of multi-machine power systems. - Bo Yang 046; Tao Yu 002; H. C. Shu; Wei Yao 005; Lin Jiang 001 (Trans. Inst. Meas. Control, 2019)

Real-Time Optimal Scheduling of Large-Scale Electric Vehicles: A Dynamic Non-Cooperative Game Approach. - Lvpeng Chen; Tao Yu 002; Yongxiang Chen; Weiling Guan; Ying Shi; Zhenning Pan (IEEE Access, 2020)

Improved Generative Adversarial Network-Based Super Resolution Reconstruction for Low-Frequency Measurement of Smart Grid. - Fusheng Li; Dan Lin 006; Tao Yu 002 (IEEE Access, 2020)

Deep Reinforcement Learning Based Multi-Objective Integrated Automatic Generation Control for Multiple Continuous Power Disturbances. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2020)

Virtual Generation Alliance Automatic Generation Control Based on Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2020)

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion. - Zhuohuan Li; Tao Yu 002; Yixuan Chen 004; Hanxin Zhu; Weicong Wu (IEEE Access, 2020)

Environmental Economic Dispatch Strategy for Power-Gas Interconnection System Considering Spatiotemporal Diffusion of Air Pollutant and P2G in Coastal Areas. - Zhuohuan Li; Zhuowei Yu; Dan Lin 006; Weicong Wu; Hanxin Zhu; Tao Yu 002; Haofei Li (IEEE Access, 2020)

Interactive Equilibrium of Electricity-Gas Energy Distribution System and Integrated Load Aggregators Considering Energy Pricings: A Master-Slave Approach. - Haofei Li; Tao Yu 002; Hanxin Zhu; Yongxiang Chen; Bo Yang 046 (IEEE Access, 2020)

Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch. - Jiawen Li 004; Tao Yu 002; Hanxin Zhu; Fusheng Li; Dan Lin 006; Zhuohuan Li (IEEE Access, 2020)

Elaborate Reliability Evaluation of Cyber Physical Distribution Systems Considering Fault Location, Isolation and Supply Restoration Process. - Dan Lin 006; Qianjin Liu; Zhuohuan Li; Guangxuan Zeng; Ziyao Wang; Tao Yu 002; Junxiao Zhang (IEEE Access, 2020)

An Approach of Electrical Load Profile Analysis Based on Time Series Data Mining. - Ying Shi; Tao Yu 002; Qianjin Liu; Hanxin Zhu; Fusheng Li; Yaxiong Wu 003 (IEEE Access, 2020)

A Practical Large-Scale Distribution Network Planning Model Based on Elite Ant-Q. - Ziyao Wang; Dan Lin 006; Guangxuan Zeng; Tao Yu 002 (IEEE Access, 2020)

Distributed Optimal Dispatching of Interconnected Electricity-Gas-Heating System. - Hanxin Zhu; Tao Yu 002; Zhenhuang Chen; Yufeng Wu; Zhuohuan Li; Weicong Wu (IEEE Access, 2020)

Stochastic Transactive Control for Electric Vehicle Aggregators Coordination: A Decentralized Approximate Dynamic Programming Approach. - Zhenning Pan; Tao Yu 002; Jie Li 047; Kaiping Qu; Lvpeng Chen; Bo Yang 046; Wenxin Guo (IEEE Trans. Smart Grid, 2020)

Stochastic Dynamic Programming-Based Online Algorithm for Energy Management of Integrated Energy Buildings With Electric Vehicles and Flexible Thermal Loads. - Renli Cheng; Weijie Cheng; Jie Li 047; Zeqi Chen; Jun Shi; Zhenning Pan; Yufeng Wu; Tao Yu 002 (IEEE Access, 2021)

Intelligent Controller Based on Distributed Deep Reinforcement Learning for PEMFC Air Supply System. - Jiawen Li 004; Tao Yu 002 (IEEE Access, 2021)

Adaptive Controller of PEMFC Output Voltage Based on Ambient Intelligence Large-Scale Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002; Bo Yang 046 (IEEE Access, 2021)

Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning. - Jiawen Li 004; Tao Yu 002; Xiaoshun Zhang (Eng. Appl. Artif. Intell., 2021)

Sensors Integrated Control of PEMFC Gas Supply System Based on Large-Scale Deep Reinforcement Learning. - Jiawen Li 004; Tao Yu 002 (Sensors, 2021)

Analysis on Life Cycle Cost Effectiveness Mathematical Evaluation Model of Pumped Storage Generating Set. - Zhongjie Huang; Xiaoliang Li; Chongwei Li; Xiaojun Wang; Zhanhong Huang; Junjie Huang; Miaoyong Feng; Tao Yu 002 (CIPAE, 2022)

Full life cycle efficiency intelligent evaluation model and calculation of the hydropower unit. - Xiaoliang Li; Zhongjie Huang; Xiaojun Wang; Chongwei Li; Kangde Wang; Ze Chen; Tao Yu 002 (ICCSIE, 2022)

Multi-Agent Learning-Based Nearly Non-Iterative Stochastic Dynamic Transactive Energy Control of Networked Microgrids. - Zhenning Pan; Tao Yu 002; Jie Li 047; Yufeng Wu; Junbin Chen; Jidong Lu; Xiaoshun Zhang (IEEE Trans. Smart Grid, 2022)

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning. - Bairong Deng; Tao Yu 002; Zhenning Pan; Xuehan Zhang; Yufeng Wu; Qiaoyi Ding (CoRR, 2024)

A semi-supervised load identification method with class incremental learning. - Leixin Qiu; Tao Yu 002; Chaofan Lan (Eng. Appl. Artif. Intell., 2024)

A Generalizable Method for Practical Non-Intrusive Load Monitoring via Metric-Based Meta-Learning. - Qingquan Luo; Tao Yu 002; Chaofan Lan; Yi Huang; Zihao Wang; Zhenning Pan (IEEE Trans. Smart Grid, 2024)

Stochastic Dynamic Power Dispatch With Human Knowledge Transfer Using Graph-GAN Assisted Inverse Reinforcement Learning. - Junbin Chen; Tao Yu 002; Zhenning Pan; Mengyue Zhang; Guanhua Lu; Kedong Zhu (IEEE Trans. Smart Grid, 2024)

A Behavior-Based and Fast Convergence Energy Sharing Mechanism for Prosumers Community. - Yufeng Wu; Tao Yu 002; Zhenning Pan (IEEE Trans. Smart Grid, 2024)

Best Response Learning Assisted Asynchronous ADMM for Real-Time Energy Sharing Under Communication Delay. - Yufeng Wu; Tao Yu 002; Zhenning Pan; Ziyao Wang (IEEE Trans. Smart Grid, 2025)