Xingpeng Li

Orcid: 0000-0002-2202-4463

According to our database1, Xingpeng Li authored at least 63 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks.
IEEE Trans. Ind. Informatics, March, 2024

N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network.
CoRR, 2024

Optimal Planning of PV and Battery Resources in Remote Microgrids Considering Degradation Costs: An Iterative Post-Optimization Correction-based Approach.
CoRR, 2024

2023
Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy.
CoRR, 2023

Metamorphic Testing of Image Captioning Systems via Reduction-based Transformations.
CoRR, 2023

Transmission Planning for Climate-impacted Renewable Energy Grid: Data Preparation, Model Improvement, and Evaluation.
CoRR, 2023

Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting.
CoRR, 2023

Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling.
CoRR, 2023

Decentralized Micro Water-Energy Co-Optimization for Small Communities.
CoRR, 2023

Computational Enhancement for Day-Ahead Energy Scheduling with Sparse Neural Network-based Battery Degradation Model.
CoRR, 2023

Evaluation of Battery Storage to Provide Virtual Transmission Service.
CoRR, 2023

Convolutional Neural Network-based RoCoF-Constrained Unit Commitment.
CoRR, 2023

Optimal Sizing of On-site Renewable Resources for Offshore Microgrids.
CoRR, 2023

Optimal Dynamic Reconfiguration of Distribution Networks.
CoRR, 2023

Active Linearized Sparse Neural Network-based Frequency-Constrained Unit Commitment.
CoRR, 2023

Graph Neural Network-based Power Flow Model.
CoRR, 2023

Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment.
CoRR, 2023

Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM.
CoRR, 2023

Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile.
CoRR, 2023

A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles.
CoRR, 2023

Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM.
CoRR, 2023

Cost-benefit Analysis And Comparisons For Different Offshore Wind Energy Transmission Systems.
CoRR, 2023

Microgrid Optimal Energy Scheduling with Risk Analysis.
CoRR, 2023

Resilient Operational Planning for Microgrids Against Extreme Events.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022
Machine Learning Assisted Inertia Estimation using Ambient Measurements.
CoRR, 2022

Quality Analysis of Battery Degradation Models with Real Battery Aging Experiment Data.
CoRR, 2022

Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids.
CoRR, 2022

Active ReLU Linearized Neural Network based Frequency-Constrained Unit Commitment in Low-Inertia Power Systems.
CoRR, 2022

Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems.
CoRR, 2022

A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms.
CoRR, 2022

Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations.
CoRR, 2022

Centralized Networked Micro Water-Energy Nexus with Proportional Exchange Among Participants.
CoRR, 2022

An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model.
CoRR, 2022

The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment.
CoRR, 2022

Reduced Optimal Power Flow Using Graph Neural Network.
CoRR, 2022

Microgrid Day-Ahead Scheduling Considering Neural Network based Battery Degradation Model.
CoRR, 2022

Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Long-Term Recurrent Convolutional Network-based Inertia Estimation using Ambient Measurements.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2022

2021
Local-Global Attentive Adaptation for Object Detection.
Eng. Appl. Artif. Intell., 2021

Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model.
CoRR, 2021

Neural Network-based Power Flow Model.
CoRR, 2021

Machine Learning Assisted Approach for Security-Constrained Unit Commitment.
CoRR, 2021

Security-Constrained Unit Commitment Con-sidering Locational Frequency Stability in Low-Inertia Power Grids.
CoRR, 2021

Optimal Allocation of Virtual Inertia Devices for Enhancing Frequency Stability in Low-Inertia PowerSystems.
CoRR, 2021

Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path.
CoRR, 2021

A Novel Real-Time Energy Management Strategy for Grid-Supporting Microgrid: Enabling Flexible Trading Power.
CoRR, 2021

A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid.
CoRR, 2021

Network Reconfiguration Impact on Renewable Energy System and Energy Storage System in Day-Ahead Scheduling.
CoRR, 2021

Effects of Carbon Impurity in Monocrystalline Silicon on Electrical Properties and the Mechanism Analysis of PIN Rectifier Diodes.
IEEE Access, 2021

2020
An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration- Part II: Results and Discussion.
CoRR, 2020

A Novel Real-Time Energy Management Strategy for Gird-Friendly Microgrid: Harnessing Internal Fluctuation Internally.
CoRR, 2020

Dynamic Estimation of Power System Inertia Distribution Using Synchrophasor Measurements.
CoRR, 2020

Enhancing System Flexibility through Corrective Demand Response in Security-Constrained Unit Commitment.
CoRR, 2020

Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Transmission Expansion Planning with Seasonal Network Optimization.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables.
CoRR, 2019

2018
Data Driven Linearized AC Power Flow Model with Regression Analysis.
CoRR, 2018

False Data Injection Cyber-Attack Detection.
CoRR, 2018

A kind of RFID Security Protocol Based on the Algorithm of Present.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017
Reliability Enhancements for Real-Time Operations of Electric Power Systems.
PhD thesis, 2017

2016
Real-Time Contingency Analysis with Corrective Transmission Switching - Part II: Results and Discussion.
CoRR, 2016

Real-Time Contingency Analysis with Corrective Transmission Switching - Part I: Methodology.
CoRR, 2016

Fast heuristics for transmission outage coordination.
Proceedings of the Power Systems Computation Conference, 2016


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