Zobrazeno 1 - 2
of 2
pro vyhledávání: '"John M. Rincon"'
Autor:
Jorge W. Gonzalez, Idi A. Isaac, Gabriel J. Lopez, Hugo A. Cardona, Gabriel J. Salazar, John M. Rincon
Publikováno v:
Heliyon, Vol 5, Iss 11, Pp e02704- (2019)
A simple method, based on Machine Learning Radial Basis Functions, RBF, is developed for estimating voltage stability margins in power systems. A reduced set of magnitude and angles of bus voltage phasors is used as input. Observability optimization
Externí odkaz:
https://doaj.org/article/1b7c84dcb23b42dc859a9cab699c2d4f
Autor:
Gabriel J. López, Gabriel J. Salazar, Idi A. Isaac, John M. Rincon, Jorge W. Gonzalez, Hugo A. Cardona
Publikováno v:
Heliyon, Vol 5, Iss 11, Pp e02704-(2019)
Heliyon
Heliyon
A simple method, based on Machine Learning Radial Basis Functions, RBF, is developed for estimating voltage stability margins in power systems. A reduced set of magnitude and angles of bus voltage phasors is used as input. Observability optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a15890e346f9890ac6a67ad04935580c
https://doi.org/10.1016/j.heliyon.2019.e02704
https://doi.org/10.1016/j.heliyon.2019.e02704