Rahul K. Gupta

According to our database, Rahul K. Gupta authored at least 19 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

bayesgrid: An Open-Source Python Tool for Generating Probabilistic Synthetic Transmission-Distribution Grids Using Bayesian Hierarchical Models.

Henrique O. Caetano, Rahul K. Gupta, Carlos Dias Maciel

CoRR, March, 2026

AC-Informed DC Optimal Transmission Switching via Admittance Sensitivity-Augmented Constraints and Repair Costs.

Rahul K. Gupta

CoRR, March, 2026

Co-Optimization of Network Topology and Variable Impedance Devices under Dynamic Line Ratings in Power Transmission Systems.

Junseon Park, Hyeongon Park, Rahul K. Gupta

CoRR, February, 2026

Iterative McCormick Relaxation for Joint Impedance Control and Network Topology Optimization.

Junseon Park, Hyeongon Park, Rahul K. Gupta

CoRR, February, 2026

Bayesian Model-based Generation of Synthetic Unbalanced Distribution Networks Incorporating Reliability Indices.

Henrique O. Caetano, Rahul K. Gupta, Cristhian G. da R. de Oliveira, João Bosco A. London Jr., Carlos Dias Maciel

CoRR, February, 2026

Ramping-aware Enhanced Flexibility Aggregation of Distributed Generation with Energy Storage in Power Distribution Networks.

Hyeongon Park, Daniel K. Molzahn, Rahul K. Gupta

CoRR, January, 2026

2025

Fair Cost Allocation in Energy Communities: A DLMP-based Bilevel Optimization with a Shapley Value Approach.

Hyeongon Park, Kyuhyeong Kwag, Daniel K. Molzahn, Rahul K. Gupta

CoRR, October, 2025

Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks.

Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, Daniel K. Molzahn

CoRR, October, 2025

Differentiating Through Power Flow Solutions for Admittance and Topology Control.

Samuel Talkington, Daniel Turizo, Sergio A. Dorado-Rojas, Rahul K. Gupta, Daniel K. Molzahn

CoRR, October, 2025

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach.

Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn

CoRR, June, 2025

A Bayesian Hierarchical Model for Generating Synthetic Unbalanced Power Distribution Grids.

Henrique de Oliveira Caetano, Rahul K. Gupta, Marco Aiello, Carlos Dias Maciel

CoRR, January, 2025

Optimizing Phase Allocation in Unbalanced Power Distribution Networks using a Linearized DistFlow Formulation.

Rahul K. Gupta, Daniel K. Molzahn

CoRR, January, 2025

Linear Phase Balancing Scheme using Voltage Unbalance Sensitivities in Multi-phase Power Distribution Grids.

Rahul K. Gupta

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Optimized LinDistFlow for High-Fidelity Power Flow Modeling of Distribution Networks.

Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn

CoRR, 2024

Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks.

Rahul K. Gupta, Daniel K. Molzahn

CoRR, 2024

Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks.

Rahul K. Gupta, Daniel K. Molzahn

CoRR, 2024

Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations.

Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn

CoRR, 2024

Strategic Electric Distribution Network Sensing via Spectral Bandits.

Samuel Talkington, Rahul K. Gupta, Richard Asiamah, Paprapee Buason, Daniel K. Molzahn

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2016

Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce.

Vikas Singh, Rahul K. Gupta, Rahul Kumar Sevakula, Nishchal K. Verma

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016