Zobrazeno 1 - 10
of 78
pro vyhledávání: '"I.C. Decker"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Control, Automation and Electrical Systems. 33:698-709
This work presents a methodology for the identification of inter-area oscillations from real data acquired by Phasor Measurement Units (PMUs). The novelties of this methodology are the joint application of a parametric and a nonparametric method, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64aa7cabebb9f6f8b159cc1a95fd19a1
https://doi.org/10.1007/s40313-021-00843-5
https://doi.org/10.1007/s40313-021-00843-5
Publikováno v:
International Journal of Electrical Power & Energy Systems. 106:411-419
This paper presents a new method to identify classes of events, by processing phasor measurement units (PMU) frequency data through deep neural networks. Deep tapered Multi-layer Perceptrons of the half-autoencoder type, Deep Belief Networks and Conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee86764992fe2694b6ad3f3d7cedd9e0
https://doi.org/10.1016/j.ijepes.2018.10.024
https://doi.org/10.1016/j.ijepes.2018.10.024
Autor:
Juliana Luiza Pereira, I.C. Decker
Publikováno v:
Anais do Congresso Brasileiro de Automática 2020.
Neste trabalho são apresentados estudos de uma metodologia de estimação de modos de oscilação eletromecânica para dados de ambiente em sistemas reais de grande porte. A metodologia de estimação e análise é composta por técnicas de processa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7387a60da990664665481069239ac0c3
https://doi.org/10.48011/asba.v2i1.1445
https://doi.org/10.48011/asba.v2i1.1445
Publikováno v:
International Journal of Electrical Power & Energy Systems. 136:107594
Nowadays, there is a clear need for Machine Learning methods capable of extracting relevant and reliable information from synchrophasor data. In this paper, the application of an explainable data-driven method is carried out in order to inspect the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ea2e26cb3d3205c843d318a3192fb20
https://doi.org/10.1016/j.ijepes.2021.107594
https://doi.org/10.1016/j.ijepes.2021.107594
Autor:
I.C. Decker, Guido Rossetto Moraes, Eduardo H.Z. Arruda, Antonio F. C. Aquino, Rodrigo Vaz, Diego Issicaba, Jyvago C.B.S. Terceiro
Publikováno v:
International Journal of Electrical Power & Energy Systems. 130:106919
This paper presents an approach to automatically analyse events on electric power systems using data from phasor measurement units installed at low voltage level. The proposed approach is based on the application of multiresolution analysis through t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac2fecb348d1213d41321bb8e2a5976e
https://doi.org/10.1016/j.ijepes.2021.106919
https://doi.org/10.1016/j.ijepes.2021.106919
Publikováno v:
2018 IEEE Power & Energy Society General Meeting (PESGM).
One new challenge, with the massive penetration of renewable generation (wind and solar), is the decline of the Electrical Power System’s (EPS) frequency response. In order to deal with this new scenario, the development of tools to estimate key va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3c64c095f2b8c94d8a3fc7e56474dc5
https://doi.org/10.1109/pesgm.2018.8586220
https://doi.org/10.1109/pesgm.2018.8586220
Publikováno v:
Journal of Control, Automation and Electrical Systems. 26:441-453
In this paper, subspace methods are applied to the identification of the dominant electromechanical oscillation modes of a large power system, using ambient data. The data are acquired by a low-voltage WAMS. Complementary techniques for the preproces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c1a80073f4eb4cce469d24e7f00a7a7
https://doi.org/10.1007/s40313-015-0187-1
https://doi.org/10.1007/s40313-015-0187-1