Analytical approximations and decision-making techniques for power systems under uncertainty

by Pareek, Parikshit
Published 2023

Probabilistic robust small-signal stability framework using gaussian process learning

by Pareek, Parikshit, Nguyen, Hung D.
Published 2021

Gaussian Process Learning-based Probabilistic Optimal Power Flow

by Pareek, Parikshit, Nguyen, Hung D.
Published 2021

State-aware stochastic optimal power flow

by Pareek, Parikshit, Nguyen, Hung D.
Published 2021

A convexification approach for small-signal stability constrained optimal power flow

by Pareek, Parikshit, Nguyen, Hung Dinh
Published 2021

A framework for analytical power flow solution using Gaussian process learning

by Pareek, Parikshit, Nguyen, Hung D.
Published 2021

Non-parametric joint chance-constrained OPF via maximum mean discrepancy penalization

by Pareek, Parikshit, Nguyen, Hung D.
Published 2022

Non-parametric probabilistic load flow using Gaussian process learning

by Pareek, Parikshit, Wang, Chuan, Nguyen, Hung Dinh
Published 2021

Optimal steady-state voltage control using Gaussian process learning

by Pareek, Parikshit, Yu, Weng, Nguyen, Hung Dinh
Published 2021

Locating critical prosumers in P2P dominant grids using state-sensitivity function

by Pareek, Parikshit, Sampath, L. P. Mohasha Isuru, Nguyen, Hung D., Foo, Eddy Yi Shyh
Published 2023

A convergence predictor model for consensus-based decentralised energy markets

by Pareek, Parikshit, Sampath, Lahanda Purage Mohasha Isuru, Nguyen, Hung D., Foo, Eddy Yi Shyh
Published 2024

Degradation-infused energy portfolio allocation framework: risk-averse fair storage participation

by Pareek, Parikshit, Sampath, L. P. Mohasha Isuru, Singh, Anshuman, Goel, Lalit, Gooi, Hoay Beng, Nguyen, Hung Dinh
Published 2025