Yuan Zheng Li
Orcid: 0000-0001-8052-1233
According to our database1,
Yuan Zheng Li
authored at least 39 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Multi-Agent Reinforcement Learning With Privacy Preservation for Continuous Double Auction-Based P2P Energy Trading.
IEEE Trans. Ind. Informatics, April, 2024
A Novel Distributed PV Data Virtual Collection With Continuous-Binary Denoising Auto-Encoders.
IEEE Trans. Smart Grid, January, 2024
2023
Dispatch of highly renewable energy power system considering its utilization via a data-driven Bayesian assisted optimization algorithm.
Knowl. Based Syst., December, 2023
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects.
Proc. IEEE, September, 2023
Cooperative Power Bidding of Smart Community Grids With an Aggregator-Prosumer-Based Hierarchical Framework.
IEEE Trans. Smart Grid, July, 2023
IEEE Internet Things J., July, 2023
Fully Decentralized P2P Energy Trading in Active Distribution Networks With Voltage Regulation.
IEEE Trans. Smart Grid, March, 2023
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach.
IEEE Trans. Intell. Veh., January, 2023
A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
PMU Measurements-Based Short-Term Voltage Stability Assessment of Power Systems via Deep Transfer Learning.
IEEE Trans. Instrum. Meas., 2023
Advancing Attack-Resilient Scheduling of Integrated Energy Systems with Demand Response via Deep Reinforcement Learning.
CoRR, 2023
A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration.
CoRR, 2023
PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning.
CoRR, 2023
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management.
CoRR, 2023
Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch
14, Springer, ISBN: 978-981-99-0798-4, 2023
2022
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach.
IEEE Trans. Smart Grid, 2022
Robust and Resilient Distributed Optimal Frequency Control for Microgrids Against Cyber Attacks.
IEEE Trans. Ind. Informatics, 2022
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach.
CoRR, 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach.
CoRR, 2022
2021
IEEE Trans. Smart Grid, 2021
Adjustable Uncertainty Set Constrained Unit Commitment With Operation Risk Reduced Through Demand Response.
IEEE Trans. Ind. Informatics, 2021
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021
2020
A Novel Scheduling Strategy for Controllable Loads With Power-Efficiency Characteristics.
IEEE Trans. Smart Grid, 2020
IEEE Trans. Ind. Informatics, 2020
2019
A Novel Thermal Energy Storage System in Smart Building Based on Phase Change Material.
IEEE Trans. Smart Grid, 2019
A Secure Distributed Transactive Energy Management Scheme for Multiple Interconnected Microgrids Considering Misbehaviors.
IEEE Trans. Smart Grid, 2019
Multi-Objective Optimal Dispatch of Microgrid Under Uncertainties via Interval Optimization.
IEEE Trans. Smart Grid, 2019
A highly accurate and fast power quality disturbances classification based on dictionary learning sparse decomposition.
Trans. Inst. Meas. Control, 2019
Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition.
IEEE Trans. Ind. Informatics, 2019
Probabilistic Optimal Power Flow With Correlated Wind Power Uncertainty via Markov Chain Quasi-Monte-Carlo Sampling.
IEEE Trans. Ind. Informatics, 2019
Coordinated Stochastic Scheduling for Improving Wind Power Adsorption in Electric Vehicles-Wind Integrated Power Systems by Multi-objective Optimization Approach.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019
2018
Real-Time Optimal Energy and Reserve Management of Electric Vehicle Fast Charging Station: Hierarchical Game Approach.
IEEE Trans. Smart Grid, 2018
A Robust Optimization Approach for Demand Side Scheduling Considering Uncertainty of Manually Operated Appliances.
IEEE Trans. Smart Grid, 2018
Three-Layer Bayesian Network for Classification of Complex Power Quality Disturbances.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Energy Consumption Scheduling of HVAC Considering Weather Forecast Error Through the Distributionally Robust Approach.
IEEE Trans. Ind. Informatics, 2018
Probabilistic Optimal Power Flow Considering Correlation of Wind Farms via Markov Chain Quasi-Monte Carlo Sampling.
CoRR, 2018
2017
Knowl. Based Syst., 2017