Manish Kumar Singh

Orcid: 0000-0002-3145-7631

Affiliations:
  • University of Minnesota, Minneapolis, MN, USA
  • Virginia Tech, Blacksburg, VA, USA (Ph.D., 2021)


According to our database1, Manish Kumar Singh authored at least 20 papers between 2019 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Fast Inverter Control by Learning the OPF Mapping Using Sensitivity-Informed Gaussian Processes.
IEEE Trans. Smart Grid, May, 2023

Time-Domain Generalization of Kron Reduction.
IEEE Control. Syst. Lett., 2023

Physics-Informed Transfer Learning for Voltage Stability Margin Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation.
CoRR, 2022

Optimal Power Flow Schedules with Reduced Low-Frequency Oscillations.
CoRR, 2022

Integrated System Models for Networks with Generators & Inverters.
CoRR, 2022

Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Towards Optimal Primary- and Secondary-control Design for Networks with Generators and Inverters.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
On the Flow Problem in Water Distribution Networks: Uniqueness and Solvers.
IEEE Trans. Control. Netw. Syst., 2021

Chance-Constrained Optimal Distribution Network Partitioning to Enhance Power Grid Resilience.
IEEE Access, 2021

Emergency Voltage Regulation in Power Systems via Ripple-Type Control.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Machine Learning for Optimal Inverter Operation in Distribution Grids.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Ripple-Type Control for Enhancing Resilience of Networked Physical Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Natural Gas Flow Solvers Using Convex Relaxation.
IEEE Trans. Control. Netw. Syst., 2020

Optimal Scheduling of Water Distribution Systems.
IEEE Trans. Control. Netw. Syst., 2020

Chance-Constrained Optimal Distribution Network Partitioning to Enhance Grid Resilience.
CoRR, 2020

Moving horizon-based optimal scheduling of EV charging: A power system-cognizant approach.
CoRR, 2020

Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Enforcing Radiality Constraints for DER-Aided Power Distribution Grid Reconfiguration.
CoRR, 2019

Natural Gas Flow Equations: Uniqueness and an MI-SOCP Solver.
Proceedings of the 2019 American Control Conference, 2019


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