List of Papers with Data/Codes

OpenWork, by Xingpeng Li, and ALL, Feb 22, 2024.
Authors in the RPG Lab
Xingpeng Li

Last updated on: February 22, 2024.

Overview

This is a list of our 31 papers with open-source data and/or codes, including 11 paper published in IEEE Transactions journals. The following list will direct you to the paper webpage, where you can find the associated data/codes. Pre-prints may also be included here.

This list will be updated as we release more codes and data along with our research papers. Note that we also released some good codes/data that are not associated with any publications and thus are not covered by the following papers.

The List in Reverse Chronological Order:

  • Thuan Pham and Xingpeng Li, “Reduced Optimal Power Flow Using Graph Neural Network”, North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022. [Link Here]

  • Jonathan Yang, Mingjian Tuo, Jin Lu, and Xingpeng Li, “Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting”, Texas Power and Energy Conference, College Station, TX, USA, Feb. 2024. [Link Here]

  • Arun Venkatesh Ramesh and Xingpeng Li, “Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment”, IEEE Transactions on Power Systems, Sep. 2023. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems”, 55th North American Power Symposium, Asheville, NC, USA, Oct. 2023, accepted for publication. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Active Linearized Sparse Neural Network-based Frequency-Constrained Unit Commitment”, arXiv:2307.04880, Jul. 2023. [Link Here]

  • Jesus Silva-Rodriguez, Jin Lu and Xingpeng Li, “Cost-Benefit Analysis and Comparisons for Different Offshore Wind Energy Transmission Systems”, Offshore Technology Conference, Houston, TX, USA, May 2023. [Link Here]

  • Arun Venkatesh Ramesh and Xingpeng Li, “Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations”, IEEE Transactions on Power Systems, Apr. 2023. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Machine Learning Assisted Inertia Estimation using Ambient Measurements”, IEEE Transactions on Industry Applications, early access, Apr. 2023. [Link Here]

  • Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham, “A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles”, arXiv, Feb. 2023. [Link Here]

  • Cunzhi Zhao and Xingpeng Li, “Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation”, IEEE Transactions on Power Systems, early access, Jan. 2023. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems”, 54th North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids”, IEEE Transactions on Power Systems, early access, Oct. 2022. [Link Here]

  • Mingjian Tuo and Xingpeng Li, “Long-term Recurrent Convolutional Networks-based Inertia Estimation using Ambient Measurements”, IEEE IAS Annual Meeting, Detroit, MI, USA, Oct. 2022. [Link Here]

  • Cunzhi Zhao and Xingpeng Li, “A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms”, 54th North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022. [Link Here]

  • Jin Lu and Xingpeng Li, “The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment”, 54th North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022. [Link Here]

  • Vasudharini Sridharan, Mingjian Tuo and Xingpeng Li, “Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model”, Energies, 15(20), 7606, Oct. 2022. [Link Here]

  • Praveen Dhanasekar, Cunzhi Zhao and Xingpeng Li, “Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads”, IEEE PES Innovative Smart Grid Technology (ISGT), New Orleans, LA, USA, Apr. 2022. [Link Here]

  • Arun Venkatesh Ramesh, Xingpeng Li and Kory W. Hedman, “An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment With Corrective Network Reconfiguration,” IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 887-900, Mar. 2022. [Link Here]

  • Thuan Pham and Xingpeng Li, “Neural Network-based Power Flow Model”, IEEE Green Technologies Conference, Houston, TX, USA, Mar. 2022. [Link Here]

  • Xingpeng Li and Qianxue Xia, “Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables”, IEEE PES T&D Conference & Exposition, (Virtually), Chicago, IL, USA, Oct. 2020. [Link Here]

  • Xingpeng Li, Akshay S. Korad, and Pranavamoorthy Balasubramanian, “Sensitivity Factors based Transmission Network Topology Control for Violation Relief,” IET Generation, Transmission and Distribution, vol. 14, no. 17, pp. 3539-3547, Sep. 2020. [Link Here]

  • Xingpeng Li, “Fast Heuristic AC Power Flow Analysis with Data-Driven Enhanced Linearized Model,” Energies, 13(13), 3308, Jun. 2020. [Link Here]

  • Xingpeng Li and Kory W. Hedman, “Enhancing Power System Cyber-Security with Systematic Two-Stage Detection Strategy,” IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1549-1561, Mar. 2020. [Link Here]

  • Xingpeng Li and Qianxue Xia, “Power System Expansion Planning with Seasonal Network Optimization,” Innovative Smart Grid Technologies (ISGT), Washington D.C., USA, Feb. 2020. [Link Here]

  • Xingpeng Li and Kory W. Hedman, “Enhanced Energy Management System with Corrective Transmission Switching Strategy— Part I: Methodology,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4490-4502, Nov. 2019. [Link Here]

  • Xingpeng Li and Kory W. Hedman, “Enhanced Energy Management System with Corrective Transmission Switching Strategy— Part II: Results and Discussion,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 4503-4513, Nov. 2019. [Link Here]

  • Xingpeng Li, Pranavamoorthy Balasubramanian, Mostafa Sahraei-Ardakani, Mojdeh Abdi-Khorsand, Kory W. Hedman, and Robin Podmore, “Real-Time Contingency Analysis with Correct Transmission Switching,” IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 2604-2617, Jul. 2017. [Link Here]

  • Xingpeng Li, Pranavamoorthy Balasubramanian, and Kory W. Hedman, “A Data-driven Heuristic for Corrective Transmission Switching,” North American Power Symposium (NAPS), Denver, CO, USA, Sep. 2016. [Link Here]

  • Mostafa Sahraei-Ardakani, Xingpeng Li, Pranavamoorthy Balasubramanian, Kory W. Hedman, and Mojdeh Abdi-Khorsand, “Real-Time Contingency Analysis with Transmission Switching on Real Power System Data,” IEEE Transactions on Power Systems, vol. 31, no. 3, pp. 2501-2502, May 2016. [Link Here]

  • Pranavamoorthy Balasubramanian, Mostafa Sahraei-Ardakani, Xingpeng Li, and Kory W. Hedman, “Towards Smart Corrective Switching: Analysis and Advancement of PJM’s Switching Solutions,” IET Generation, Transmission, and Distribution, vol. 10, no. 8, pp. 1984-1992, May 2016. [Link Here]

  • Xingpeng Li, Pranavamoorthy Balasubramanian, Mojdeh Abdi-Khorsand, Akshay S. Korad, and Kory W. Hedman, “Effect of Topology Control on System Reliability: TVA Test Case,” CIGRE US National Committee Grid of the Future Symposium, Houston, TX, USA, Oct. 2014. [Link Here]

Contact:

Dr. Xingpeng Li

University of Houston

Email: xli83@central.uh.edu

Website: https://rpglab.github.io/

The author doesn’t make any warranty for the accuracy, completeness, or usefulness of any information disclosed and the author assumes no liability or responsibility for any errors or omissions for the information disclosed.