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Arun Venkatesh Ramesh
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An accelerated-decomposition approach for security-constrained unit commitment with corrective network reconfiguration
AV Ramesh, X Li, KW Hedman
IEEE Transactions on Power Systems 37 (2), 887-900, 2021
292021
Security constrained unit commitment with corrective transmission switching
AV Ramesh, X Li
2019 North American Power Symposium (NAPS), 1-6, 2019
242019
Reducing congestion-induced renewable curtailment with corrective network reconfiguration in day-ahead scheduling
AV Ramesh, X Li
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
192020
Network reconfiguration impact on renewable energy system and energy storage system in day-ahead scheduling
AV Ramesh, X Li
2021 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2021
142021
Feasibility layer aided machine learning approach for day-ahead operations
AV Ramesh, X Li
IEEE Transactions on Power Systems 39 (1), 1582-1593, 2023
122023
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
AV Ramesh, X Li
IEEE Transactions on Power Systems, 2023
102023
Machine Learning Assisted Model Reduction for Security-Constrained Unit Commitment
AV Ramesh, X Li
2022 North American Power Symposium (NAPS), 1-6, 2022
9*2022
Benefits and cyber-vulnerability of demand response system in real-time grid operations
M Tuo, AV Ramesh, X Li
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
92020
Enhancing system flexibility through corrective demand response in security-constrained unit commitment
AV Ramesh, X Li
2020 52nd North American Power Symposium (NAPS), 1-6, 2021
82021
System Flexibility and AI Computational Enhancement for Day-Ahead Power System Operations
AV Ramesh
University of Houston, 2022
2022
An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration-Part II: Results and Discussion
A Venkatesh Ramesh, X Li, KW Hedman
arXiv e-prints, arXiv: 2007.10142, 2020
2020
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