Zobrazeno 1 - 4
of 4
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
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
