Parikshit Pareek

Orcid: 0000-0003-4688-2021

According to our database1, Parikshit Pareek authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation.
IEEE Trans. Ind. Informatics, May, 2024

Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach.
CoRR, 2024

Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage.
CoRR, 2024

2023
Locating Critical Prosumers in P2P Dominant Grids Using State-Sensitivity Function.
IEEE Trans. Smart Grid, September, 2023

Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion.
IEEE Syst. J., June, 2023

Data-Efficient Power Flow Learning for Network Contingencies.
CoRR, 2023

A Convergence Predictor Model for Consensus-based Decentralised Energy Markets.
CoRR, 2023

Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes.
CoRR, 2023

2021
Optimal Steady-State Voltage Control Using Gaussian Process Learning.
IEEE Trans. Ind. Informatics, 2021

A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow.
IEEE Trans. Control. Netw. Syst., 2021

Health-Focused Optimal Power Flow.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

2020
Gaussian Process Learning-based Probabilistic Optimal Power Flow.
CoRR, 2020

2019
Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach.
CoRR, 2019

Non-parametric Probabilistic Load Flow using Gaussian Process Learning.
CoRR, 2019

Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning.
CoRR, 2019


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