Tao Yu

Orcid: 0000-0002-0143-261X

Affiliations:
  • South China University of Technology, School of Electric Power, Guangzhou, China
  • Tsinghua University, Beijing, China (PhD 2003)


According to our database1, Tao Yu authored at least 39 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Generalizable Method for Practical Non-Intrusive Load Monitoring via Metric-Based Meta-Learning.
IEEE Trans. Smart Grid, January, 2024

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning.
CoRR, 2024

2022
Multi-Agent Learning-Based Nearly Non-Iterative Stochastic Dynamic Transactive Energy Control of Networked Microgrids.
IEEE Trans. Smart Grid, 2022

Full life cycle efficiency intelligent evaluation model and calculation of the hydropower unit.
Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 2022

Analysis on Life Cycle Cost Effectiveness Mathematical Evaluation Model of Pumped Storage Generating Set.
Proceedings of the International Conference on Computers, 2022

2021
Sensors Integrated Control of PEMFC Gas Supply System Based on Large-Scale Deep Reinforcement Learning.
Sensors, 2021

Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning.
Eng. Appl. Artif. Intell., 2021

Adaptive Controller of PEMFC Output Voltage Based on Ambient Intelligence Large-Scale Deep Reinforcement Learning.
IEEE Access, 2021

Intelligent Controller Based on Distributed Deep Reinforcement Learning for PEMFC Air Supply System.
IEEE Access, 2021

Stochastic Dynamic Programming-Based Online Algorithm for Energy Management of Integrated Energy Buildings With Electric Vehicles and Flexible Thermal Loads.
IEEE Access, 2021

2020
Stochastic Transactive Control for Electric Vehicle Aggregators Coordination: A Decentralized Approximate Dynamic Programming Approach.
IEEE Trans. Smart Grid, 2020

Distributed Optimal Dispatching of Interconnected Electricity-Gas-Heating System.
IEEE Access, 2020

A Practical Large-Scale Distribution Network Planning Model Based on Elite Ant-Q.
IEEE Access, 2020

An Approach of Electrical Load Profile Analysis Based on Time Series Data Mining.
IEEE Access, 2020

Elaborate Reliability Evaluation of Cyber Physical Distribution Systems Considering Fault Location, Isolation and Supply Restoration Process.
IEEE Access, 2020

Multi-Agent Deep Reinforcement Learning for Sectional AGC Dispatch.
IEEE Access, 2020

Interactive Equilibrium of Electricity-Gas Energy Distribution System and Integrated Load Aggregators Considering Energy Pricings: A Master-Slave Approach.
IEEE Access, 2020

Environmental Economic Dispatch Strategy for Power-Gas Interconnection System Considering Spatiotemporal Diffusion of Air Pollutant and P2G in Coastal Areas.
IEEE Access, 2020

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion.
IEEE Access, 2020

Virtual Generation Alliance Automatic Generation Control Based on Deep Reinforcement Learning.
IEEE Access, 2020

Deep Reinforcement Learning Based Multi-Objective Integrated Automatic Generation Control for Multiple Continuous Power Disturbances.
IEEE Access, 2020

Improved Generative Adversarial Network-Based Super Resolution Reconstruction for Low-Frequency Measurement of Smart Grid.
IEEE Access, 2020

Real-Time Optimal Scheduling of Large-Scale Electric Vehicles: A Dynamic Non-Cooperative Game Approach.
IEEE Access, 2020

2019
Sliding-mode perturbation observer-based sliding-mode control design for stability enhancement of multi-machine power systems.
Trans. Inst. Meas. Control, 2019

Optimal power tracking of doubly fed induction generator-based wind turbine using swarm moth-flame optimizer.
Trans. Inst. Meas. Control, 2019

Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants.
IEEE Trans. Ind. Informatics, 2019

Adaptive deep dynamic programming for integrated frequency control of multi-area multi-microgrid systems.
Neurocomputing, 2019

Development and application research of smart distribution district based on IDTT-B new-type transformer terminal unit.
Int. J. Inf. Commun. Technol., 2019

Parallel Cyber-Physical-Social Systems Based Smart Energy Robotic Dispatcher and Knowledge Automation: Concepts, Architectures, and Challenges.
IEEE Intell. Syst., 2019

Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems.
IEEE Access, 2019

Energy Internet Access Equipment Integrating Cyber-Physical Systems: Concepts, Key Technologies, System Development, and Application Prospects.
IEEE Access, 2019

Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview.
IEEE Access, 2019

2018
Consensus Transfer Q-Learning for Decentralized Generation Command Dispatch Based on Virtual Generation Tribe.
IEEE Trans. Smart Grid, 2018

Perturbation observer-based adaptive passive control for nonlinear systems with uncertainties and disturbances.
Trans. Inst. Meas. Control, 2018

Multi-Agent Bargaining Learning for Distributed Energy Hub Economic Dispatch.
IEEE Access, 2018

Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow.
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.
IEEE Access, 2018

Nash Equilibrium-Based Asymptotic Stability Analysis of Multi-Group Asymmetric Evolutionary Games in Typical Scenario of Electricity Market.
IEEE Access, 2018

2017
Accelerating bio-inspired optimizer with transfer reinforcement learning for reactive power optimization.
Knowl. Based Syst., 2017


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