Renewable Power Grid Lab

Our overall research goal is to promote Renewable energy-dominated future Power Grids, i.e. Renewable Power Grids (RPG).

The RPG Lab led by Dr. Xingpeng Li at the University of Houston (UH) conducts cutting-edge cross-discipline research focusing on bulk power systems and microgrids. We leverage sophisticated methods in the areas of optimization, network science, data science and machine learning to advance power energy systems.

The RPG Lab is a part of the Power Electronics, Microgrids & Subsea Electrical Systems Center (PEMSEC) at UH.

Miscellaneous
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Publications
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Posted/published on Mar 01, 2024
Solar Power Generation Profile Estimation for Lunar Surface Solar PV Systems
Posted/published on Feb 22, 2024
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
Posted/published on Feb 13, 2024
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Posted/published on Feb 12, 2024
Optimal Planning of PV and Battery Resources in Remote Microgrids Considering Degradation Costs: An Iterative Post-Optimization Correction-based Approach
Posted/published on Feb 06, 2024
Decentralized Micro Water-Energy Co-Optimization for Small Communities
Posted/published on Feb 01, 2024
Microgrid Optimal Energy Scheduling Considering Neural Network based Battery Degradation
Posted/published on Jan 01, 2024
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations
Posted/published on Jan 01, 2024
Resources
List of Papers with Data/Codes
Posted on Feb 22, 2024
GNN for Reduced OPF in Python
Posted on Feb 22, 2024
ML-based ERCOT Load Forecasting in Python Notebook
Posted on Oct 12, 2023
Grid Real-Time Operation Simulator (GRTOS) software suite in Java
Posted on Sep 13, 2023
Spatio-Temporal DL for reduced SCUC in Python
Posted on Sep 11, 2023
Time-Domain Simulation Samples for Frequency-Constrained Look-Ahead Energy Scheduling
Posted on Jul 24, 2023
Power System Academia 101
Posted on Jul 13, 2023
Deep Learning-based Grid Inertia Estimation in Python Notebook with Learning-Ready Dataset
Posted on Jun 27, 2023
News
Received NSF CAREER Award
Posted on Feb 27, 2024
Selected as an NAS GRP Early-Career Research Follow (ECRF)
Posted on Jan 30, 2024
NASA Visit and Research Recognition
Posted on Jan 23, 2024
1 Paper Accepted by IEEE Texas Power and Energy Conference
Posted on Jan 02, 2024
PhD Defense Completed - Cunzhi Zhao
Posted on Nov 07, 2023
4 Papers Accepted and Presented at 55th NAPS
Posted on Oct 17, 2023
TV Interview with ABC13 (Houston)
Posted on Oct 09, 2023
1 Paper Accepted by IEEE Transactions on Power Systems
Posted on Sep 05, 2023
Blogs
Judge - 65th Science & Engineering Fair of Houston (SEFH) - K12
Posted on Feb 17, 2024 by Xingpeng Li
2023 Fall Commencement - Cunzhi Zhao (PhD 2023F)
Posted on Dec 16, 2023 by Xingpeng Li
Group Thanksgiving Party 2023
Posted on Nov 18, 2023 by Xingpeng Li
2023 Spring Commencement - Arun Venkatesh Ramesh (PhD 2022F)
Posted on May 13, 2023 by Xingpeng Li
Group Meeting, Dinner and Fun Event
Posted on Jan 27, 2023 by Xingpeng Li
Group Fun Event on Campus (Bowling & Biliards)
Posted on Sep 02, 2022 by Xingpeng Li
Group Lunch on Campus
Posted on May 10, 2022 by Xingpeng Li
H-SEF of Harmony Public Schools (K12)
Posted on Apr 23, 2022 by Xingpeng Li
Website Structure

The People page lists all team members in the RPG Lab; each member has a unique profile webpage.

The Publications page lists all our published papers as well as papers that are under review.

The Resources page shares the data and codes we created.

The News page posts the news about the RPG Lab.

We also have a Blog page for group and personal posts, and life beyond research.

The 'Miscellaneous' above provides links to other pages in this website.