Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ignacio Diaz-Blanco"'
Autor:
Daniel Perez-Lopez, Ana Gonzalez-Muniz, Abel Alberto Cuadrado Vega, Ignacio Diaz-Blanco, Manuel Domínguez-González, Diego Garcia-Perez
Publikováno v:
IEEE Transactions on Smart Grid. 12:2722-2731
Great concern regarding energy efficiency has led the research community to develop approaches which enhance the energy awareness by means of insightful representations. An example of intuitive energy representation is the parts-based representation
Autor:
Ignacio Diaz-Blanco, Jose M. Enguita-Gonzalez, Diego Garcia-Perez, Ana Gonzalez-Muñiz, Abel A. Cuadrado-Vega, Maria Dolores Chiara-Romero, Nuria Valdes-Gallego
Publikováno v:
ESANN 2022 proceedings.
Autor:
Ignacio Diaz-Blanco, Jose M. Enguita-Gonzalez, Diego Garcia-Perez, Maria Dolores Chiara-Romero, Nuria Valdes-Gallego, Ana Gonzalez-Muñiz, Abel A. Cuadrado-Vega
Publikováno v:
ESANN 2022 proceedings.
Autor:
Ignacio Diaz-Blanco, Perfecto Reguera-Acevedo, Miguel A. Prada, Juan J. Fuertes-Martínez, Abel A. Cuadrado-Vega, Manuel Domínguez-González
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540746898
ICANN (1)
ICANN (1)
In this paper, an approach to model the dynamics of multivariable processes based on the motion analysis of the process state trajectory is presented. The trajectory followed by the projection of the process state onto the 2D neural lattice of a Self
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92fbd750354cf7b1cbdec9c027d45345
https://doi.org/10.1007/978-3-540-74690-4_60
https://doi.org/10.1007/978-3-540-74690-4_60
Autor:
Perfecto Reguera-Acevedo, Juan J. Fuertes-Martínez, Ignacio Diaz-Blanco, Manuel Domínguez-González, Abel A. Cuadrado-Vega, Alberto B. Diez-González
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540746898
ICANN (1)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
ICANN (1)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
In this work, we describe a procedure to visualize nonlinear process dynamics using a self-organizing map based local model dynamical estimator. The proposed method exploits the topology preserving nature of the resulting estimator to extract visuali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84d6de66a724e1e10c03396a5f5a0992
http://hdl.handle.net/10651/22842
http://hdl.handle.net/10651/22842
Conference
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