Yang Li
Orcid: 0000-0002-6515-4567Affiliations:
- Northeast Electric Power University, School of Electrical Engineering, Jilin, China
According to our database1,
Yang Li
authored at least 60 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
A Demand-Supply Cooperative Responding Strategy in Power System With High Renewable Energy Penetration.
IEEE Trans. Control. Syst. Technol., May, 2024
Renewable Energy Absorption Oriented Many-Objective Probabilistic Optimal Power Flow.
IEEE Trans. Netw. Sci. Eng., 2024
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling.
CoRR, 2024
2023
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach.
IEEE Trans. Intell. Veh., January, 2023
PMU Measurements-Based Short-Term Voltage Stability Assessment of Power Systems via Deep Transfer Learning.
IEEE Trans. Instrum. Meas., 2023
Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams.
Int. J. Bio Inspired Comput., 2023
Demand response method considering multiple types of flexible loads in industrial parks.
Eng. Appl. Artif. Intell., 2023
Advancing Attack-Resilient Scheduling of Integrated Energy Systems with Demand Response via Deep Reinforcement Learning.
CoRR, 2023
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance.
CoRR, 2023
Data-Driven Distributionally Robust Scheduling of Community Integrated Energy Systems with Uncertain Renewable Generations Considering Integrated Demand Response.
CoRR, 2023
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management.
CoRR, 2023
2022
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach.
IEEE Trans. Smart Grid, 2022
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach.
IEEE Trans. Ind. Informatics, 2022
Sensors, 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
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction.
CoRR, 2022
CoRR, 2022
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies.
CoRR, 2022
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning.
CoRR, 2022
CoRR, 2022
Improved normal-boundary intersection algorithm: a method for energy optimization strategy in smart buildings.
CoRR, 2022
2021
Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game.
CoRR, 2021
Data Driven based Dynamic Correction Prediction Model for NOx Emission of Coal Fired Boiler.
CoRR, 2021
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments.
CoRR, 2021
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model.
CoRR, 2021
Dynamic Prediction Model for NOx Emission of SCR System Based on Hybrid Data-driven Algorithms.
CoRR, 2021
Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach.
CoRR, 2021
Coordinated Cyber-Attack Detection Model of Cyber-Physical Power System Based on the Operating State Data Link.
CoRR, 2021
Appl. Soft Comput., 2021
IEEE Access, 2021
Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events.
IEEE Access, 2021
2020
CoRR, 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals.
CoRR, 2020
Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition.
CoRR, 2020
Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings.
CoRR, 2020
Indicator & crowding distance-based evolutionary algorithm for combined heat and power economic emission dispatch.
Appl. Soft Comput., 2020
Multi-Objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification-Based Multi-Objective Evolutionary Algorithm and Integrated Decision Making.
IEEE Access, 2020
Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS Based on Temporal-Topological Correlation.
IEEE Access, 2020
Power Cyber-Physical System Risk Area Prediction Using Dependent Markov Chain and Improved Grey Wolf Optimization.
IEEE Access, 2020
Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering.
IEEE Access, 2020
2019
Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties.
IEEE Trans. Ind. Electron., 2019
Multiresolution operator decomposition for flow simulation in fractured porous media.
J. Comput. Phys., 2019
CoRR, 2019
Dynamic State Estimation of Synchronous Machines Using Robust Cubature Kalman Filter Against Complex Measurement Noise Statistics.
CoRR, 2019
Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model.
CoRR, 2019
Controlled Islanding for a Hybrid AC/DC Grid With VSC-HVDC Using Semi-Supervised Spectral Clustering.
IEEE Access, 2019
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines Under Unknown Measurement Noise Statistics.
IEEE Access, 2019
Incorporating Demand Response of Electric Vehicles in Scheduling of Isolated Microgrids With Renewables Using a Bi-Level Programming Approach.
IEEE Access, 2019
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019
2018
Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors.
CoRR, 2018
Optimized Hierarchical Power Oscillations Control for Distributed Generation Under Unbalanced Conditions.
CoRR, 2018
Method for Quantitative Estimation of the Risk Propagation Threshold in Electric Power CPS Based on Seepage Probability.
IEEE Access, 2018
2017
A multiscale mixed finite element method with oversampling for modeling flow in fractured reservoirs using discrete fracture model.
J. Comput. Appl. Math., 2017
Application of EOS-ELM With Binary Jaya-Based Feature Selection to Real-Time Transient Stability Assessment Using PMU Data.
IEEE Access, 2017
2016
Application of Shannon Wavelet Entropy and Shannon Wavelet Packet Entropy in Analysis of Power System Transient Signals.
Entropy, 2016
2011
Pressure vessel state investigation based upon the least squares support vector machine.
Math. Comput. Model., 2011