Yang Li

Orcid: 0000-0002-6515-4567

Affiliations:
  • Northeast Electric Power University, School of Electrical Engineering, Jilin, China


According to our database1, Yang Li authored at least 52 papers between 2011 and 2023.

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

Timeline

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Bibliography

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

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

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms.
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

Data Encryption based on 9D Complex Chaotic System with Quaternion for Smart Grid.
CoRR, 2022

Demand Response Method Considering Multiple Types of Flexible Loads in Industrial Parks.
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

Wind power ramp prediction algorithm based on wavelet deep belief network.
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

Coordinated Cyber-Attack Detection Model of Cyber-Physical Power System Based on the Operating State Data Link.
CoRR, 2021

Bitcoin transaction strategy construction based on deep reinforcement learning.
Appl. Soft Comput., 2021

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems.
IEEE Access, 2021

Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems Driven by Hybrid Spatiotemporal Events.
IEEE Access, 2021

2020
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals.
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

A false data injection attack method for generator dynamic state estimation.
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

Dynamic State Estimation of Generators Under Cyber Attacks.
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

Non-Intrusive Appliance Identification with Appliance-Specific Networks.
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


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