Analytical approximations and decision-making techniques for power systems under uncertainty
The integration of distributed energy resources and increasing adoption of electric vehicles continue to drive uncertainty in power systems to an unprecedented level. In view of reduced applicability of traditional analysis and decision-making methods, this dissertation aims to address the need for...
Main Author: | Pareek, Parikshit |
---|---|
Other Authors: | Hung Dinh Nguyen |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164950 |
Similar Items
-
A framework for analytical power flow solution using Gaussian process learning
by: Pareek, Parikshit, et al.
Published: (2021) -
State-aware stochastic optimal power flow
by: Pareek, Parikshit, et al.
Published: (2021) -
Uncertainty quantification of photovoltaic power generation
by: Faranak Golestaneh
Published: (2017) -
Power demand and supply management in microgrids with uncertainties of renewable energies
by: Wang, Ran, et al.
Published: (2014) -
Data analytics for active girds
by: Fei, Siqi
Published: (2023)