Parikshit Pareek

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Preference Learning

Gaussian Process

Optimal Power Flow

Newly Developed

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Control. Netw. Syst.

IEEE Trans. Smart Grid

Publications

Anshuman Singh, Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen
A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation. IEEE Trans. Ind. Informatics 20 (5) (2024)
Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra
Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR (2024)
Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR (2023)
Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung D. Nguyen, Yi Shyh Eddy Foo
A Convergence Predictor Model for Consensus-based Decentralised Energy Markets. CoRR (2023)
Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung Dinh Nguyen, Yi Shyh Eddy Foo
Locating Critical Prosumers in P2P Dominant Grids Using State-Sensitivity Function. IEEE Trans. Smart Grid 14 (5) (2023)
Sel Ly, Parikshit Pareek, Hung Dinh Nguyen
Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion. IEEE Syst. J. 17 (2) (2023)
Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
Data-Efficient Power Flow Learning for Network Contingencies. CoRR (2023)
Parikshit Pareek, Hung Dinh Nguyen
A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen
Health-Focused Optimal Power Flow. ISGT (2021)
Parikshit Pareek, Weng Yu, Hung Dinh Nguyen
Optimal Steady-State Voltage Control Using Gaussian Process Learning. IEEE Trans. Ind. Informatics 17 (10) (2021)
Parikshit Pareek, Hung D. Nguyen
Gaussian Process Learning-based Probabilistic Optimal Power Flow. CoRR (2020)
Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen
Health-Focused Optimal Power Flow. CoRR (2020)
Parikshit Pareek, Hung D. Nguyen
Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach. CoRR (2019)
Parikshit Pareek, Hung D. Nguyen
Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning. CoRR (2019)
Parikshit Pareek, Chuan Wang, Hung D. Nguyen
Non-parametric Probabilistic Load Flow using Gaussian Process Learning. CoRR (2019)