Parikshit Pareek

According to our database, Parikshit Pareek authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation.

Anshuman Singh, Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen

IEEE Trans. Ind. Informatics, May, 2024

Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation.

Parikshit Pareek, L. P. M. I. Sampath, Anshuman Singh, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen

CoRR, 2024

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

Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra

CoRR, 2024

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

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra

CoRR, 2024

2023

Locating Critical Prosumers in P2P Dominant Grids Using State-Sensitivity Function.

Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung Dinh Nguyen, Yi Shyh Eddy Foo

IEEE Trans. Smart Grid, September, 2023

Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion.

Sel Ly, Parikshit Pareek, Hung Dinh Nguyen

IEEE Syst. J., June, 2023

Data-Efficient Power Flow Learning for Network Contingencies.

Parikshit Pareek, Deepjyoti Deka, Sidhant Misra

CoRR, 2023

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

Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung D. Nguyen, Yi Shyh Eddy Foo

CoRR, 2023

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

Parikshit Pareek, Deepjyoti Deka, Sidhant Misra

CoRR, 2023

2021

Optimal Steady-State Voltage Control Using Gaussian Process Learning.

Parikshit Pareek, Weng Yu, Hung Dinh Nguyen

IEEE Trans. Ind. Informatics, 2021

A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow.

Parikshit Pareek, Hung Dinh Nguyen

IEEE Trans. Control. Netw. Syst., 2021

Health-Focused Optimal Power Flow.

Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

2020

Gaussian Process Learning-based Probabilistic Optimal Power Flow.

Parikshit Pareek, Hung D. Nguyen

CoRR, 2020

2019

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

Parikshit Pareek, Hung D. Nguyen

CoRR, 2019

Non-parametric Probabilistic Load Flow using Gaussian Process Learning.

Parikshit Pareek, Chuan Wang, Hung D. Nguyen

CoRR, 2019

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

Parikshit Pareek, Hung D. Nguyen

CoRR, 2019