Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Leila Kamyabi"'
Publikováno v:
Energies, Vol 17, Iss 19, p 4806 (2024)
Due to the increasing demand for electricity, competitive electricity markets, and economic concerns, power systems are operating near their stability margins. As a result, power systems become more vulnerable following disturbances, particularly fro
Externí odkaz:
https://doaj.org/article/e911a965b5934f4eaa13e5f3a26335fb
Publikováno v:
TESEA, Transactions on Energy Systems and Engineering Applications, Vol 3, Iss 2 (2022)
Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of cou
Externí odkaz:
https://doaj.org/article/da2c1a0c13c14461b59474a3b793c754
Publikováno v:
International Journal of Electrical Power & Energy Systems. 102:302-311
The aim of this paper is to propose a new method for locating power quality monitors (PQMs) in a power system at different depths of unobservability. In this method, the placement problem is solved in two levels, taking into account the limitation on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76063e532ef6f6c5a266bc8f190d747
https://doi.org/10.1016/j.ijepes.2018.05.002
https://doi.org/10.1016/j.ijepes.2018.05.002
Autor:
Kamyabi, Leila1 (AUTHOR) leila.kamyabi@autuni.ac.nz, Lie, Tek Tjing1 (AUTHOR) sam.madanian@aut.ac.nz, Madanian, Samaneh1 (AUTHOR), Marshall, Sarah2 (AUTHOR) sarah.marshall@auckland.ac.nz
Publikováno v:
Energies (19961073). Oct2024, Vol. 17 Issue 19, p4806. 20p.
Publikováno v:
Portal de Revistas-UTB-OJS
Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of cou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8cb2a42c5589ad849339862b6f6265
https://revistas.utb.edu.co/tesea/article/view/484
https://revistas.utb.edu.co/tesea/article/view/484
Digital Twin represents the indistinguishable digital counterpart of the physical object to simulate, monitor and test with real time synchronization. This book presents the framework and important key aspects of digital twins including various techn