Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Juan A Lazzús"'
Autor:
Juan A Lazzús, Ignacio Salfate
Publikováno v:
Earth Sciences Research Journal, Vol 21, Iss 1, Pp 29-35 (2017)
An artificial neural network was used for forecasting of long-term wind speed data (24 and 48 hours ahead) in La Serena City (Chile). In order to obtain a more effective correlation and prediction, a particle swarm algorithm was implemented to update
Externí odkaz:
https://doaj.org/article/e1411135f72c41e08a99a7a21d23b48b
Publikováno v:
Entropy, Vol 26, Iss 9, p 771 (2024)
This study explores the thermodynamic properties of doped graphene using an adapted electronic spectrum. We employed the one-electron tight-binding model to describe the hexagonal lattice structure. The dispersion relation for graphene is expressed i
Externí odkaz:
https://doaj.org/article/02f213fd37284a5cbdb400e4a854535d
Publikováno v:
Geofísica Internacional, Vol 61, Iss 4, Pp 267-286 (2022)
Debido a las complejidades de la investigación magnetosférica, la instalación y gestión de nuevas estaciones terrestres magnéticas de acuerdo con los estándares modernos es crucial para monitorear las perturbaciones magnetosféricas y los fenó
Externí odkaz:
https://doaj.org/article/d31fb0a80fad46e58d9c8dfd75d5f23f
Publikováno v:
Geofísica Internacional, Vol 57, Iss 4, Pp 239-251 (2018)
Se desarrolló un método que combina una red neuronal artificial y un algoritmo genético (ANN+GA) con el fin de pronosticar el índice de tiempo de perturbación de tormenta (Dst). A partir de esta técnica, la ANN fue optimizada por GA para actual
Externí odkaz:
https://doaj.org/article/7df035db3869474d97a1773d0ff7f00c
Autor:
Alberto Foppiano, Luis Palma-Chilla, Ignacio Salfate, Carlos Villalobos, Manuel Bravo, Enrique Carrasco, Elías Ovalle, Miguel Martínez-Ledesma, Luis Tamblay, Rene Pacheco, Pedro Vega-Jorquera, Juan A Lazzús
Publikováno v:
Annals of Geophysics. 65
The first report on the changes in meteorological parameters during the total solar eclipse of July 2, 2019, in La Serena (Chile), is presented. The event could be observed from morning time on the east of New Zealand, in the South Pacific Ocean, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f019bdf8e853bb31324246953ca63a2
https://doi.org/10.4401/ag-8623
https://doi.org/10.4401/ag-8623
Autor:
Juan A. Lazzús, L. Palma-Chilla, Pedro Vega-Jorquera, Ignacio Salfate, R. Pacheco, L. Tamblay
Publikováno v:
Geomagnetism and Aeronomy. 61:287-292
The total solar eclipse on July 2, 2019, has been studied by using data of the La Serena ground magnetic station in Chile located in the path of the totality (at geographic coordinates: 29.827° S, 71.261° W). The event reached 100% darkness and occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02a8b47bbda75a930240895598caa3a2
https://doi.org/10.1134/s0016793221020171
https://doi.org/10.1134/s0016793221020171
Publikováno v:
Earth Science Informatics. 13:1411-1425
A method to forecast air temperature TA in Elqui Valley (south of Chile’s Atacama Desert) using an artificial neural network (ANN) and meteorological time series data relevant to this zone, is proposed. This zone has one of the most sensitive clima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7de1ac26f088d80c46ee479c29b97b2f
https://doi.org/10.1007/s12145-020-00519-9
https://doi.org/10.1007/s12145-020-00519-9
Publikováno v:
Space Weather. 17:1487-1506
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8e8f2332bd0da7aba505f410dbc532
https://doi.org/10.1029/2019sw002215
https://doi.org/10.1029/2019sw002215
Publikováno v:
Geofísica Internacional. 57:239-251
espanolSe desarrollo un metodo que combina una red neuronal artificial y un algoritmo genetico (ANN+GA) con el fin de pronosticar el indice de tiempo de perturbacion de tormenta ( Dst ). A partir de esta tecnica, la ANN fue optimizada por GA para act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd82e4d9846a844cf7bf4f434be87ad1
https://doi.org/10.22201/igeof.00167169p.2018.57.4.2104
https://doi.org/10.22201/igeof.00167169p.2018.57.4.2104
Autor:
Bartolomé Manobel, Frank Sehnke, Martin Felder, Sonia Montecinos, Juan A. Lazzús, Ignacio Salfate
Publikováno v:
Renewable Energy. 125:1015-1020
An accurate estimation of the wind turbine power curve is a key issue to the provision of the electricity that the wind farm will transfer to the grid and for a correct evaluation of the performance of each turbine. Artificial Neural Networks (ANN) h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1c2c8c23818189f79fb9755e4bd232
https://doi.org/10.1016/j.renene.2018.02.081
https://doi.org/10.1016/j.renene.2018.02.081