Arun Venkatesh Ramesh has received his PhD degree in Electrical Engineering from the University of Houston, Houston, TX, USA in December 2022. Arun had worked in the RPG lab as a PhD student from Jan. 2019 to Dec. 2022.

PhD Dissertation title: “System Flexibility and AI Computational Enhancement for Day-Ahead Power System Operations”

First Job: Sr. Market Optimization Software Engineer, GE-Digital, Houston, USA.

Education

PhD, Electrical Engineering, University of Houston, TX, USA 2019-2022

Master of Science in Electrical Engineering, Arizona State University, AZ, USA 2013-2015

Banchelors of Engineering, Anna University, India 2009-2013

Publication at UH RPG Lab

• Arun Venkatesh Ramesh and Xingpend Li, “Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment”, IEEE Transactions on Power Systems, Sep. 2023.
• Arun Venkatesh Ramesh and Xingpeng Li, “Feasibility Layer Aided Machine Learning Approach for Day Ahead Operations”, IEEE Transactions on Power Systems, Apr. 2023. DOI: 10.1109/TPWRS.2023.3266192
• Arun Venkatesh Ramesh and Xingpeng Li, “Machine Learning Assisted Model Reduction for Security Constrained Unit Commitment”, North American Power Symposium, Salt Lake City, UT, USA, Oct. 2022.
• Arun Venkatesh Ramesh, Xingpeng Li and Kory W. Hedman, “An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration,” in IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 887-900, Mar. 2022. doi: 10.1109/TPWRS.2021.3098771.
• Arun Venkatesh Ramesh and Xingpeng Li, “Network Reconfiguration Impact on Renewable Energy System and Energy Storage System in Day-Ahead Scheduling”, IEEE Power & Energy Society General Meeting (PESGM), Jul. 2021.
• Arun Venkatesh Ramesh and Xingpeng Li, “Enhancing System Flexibility through Corrective Demand Response in Security-Constrained Unit Commitment,” 2020 52nd North American Power Symposium (NAPS), Apr. 2021, pp. 1-6, doi: 10.1109/NAPS50074.2021.9449717.
• Mingjian Tuo, Arun Venkatesh Ramesh and Xingpeng Li, “Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations,” 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Oct. 2020, pp. 1-6, doi: 10.1109/SmartGridComm47815.2020.9302964.
• Arun Venkatesh Ramesh and Xingpeng Li, “Reducing Congestion-Induced Renewable Curtailment with Corrective Network Reconfiguration in Day-Ahead Scheduling,” 2020 IEEE Power & Energy Society General Meeting (PESGM), Aug. 2020, pp. 1-5, doi: 10.1109/PESGM41954.2020.9281399.
• Arun Venkatesh Ramesh and Xingpeng Li, “Security Constrained Unit Commitment with Corrective Transmission Switching,” 2019 North American Power Symposium (NAPS), Oct. 2019, pp. 1-6, doi: 10.1109/NAPS46351.2019.9000308.

Classes:

• ECE 6327 Smart Grid Systems
• INDE 6372 Advanced Linear Optimization
• ECE 6343 Renewable Energy
• ECE 6397 Machine Learning and Computer Vision

Research Interests:

Power systems operations and planning, Power system optimation, Smartgrids, Machine Learning.