Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Laura Cornejo-Bueno"'
Autor:
Ricardo Torres-López, David Casillas-Pérez, Jorge Pérez-Aracil, Laura Cornejo-Bueno, Enrique Alexandre, Sancho Salcedo-Sanz
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2187 (2022)
Prediction problems in timed datasets related to human activities are especially difficult to solve, because of the specific characteristics and the scarce number of predictive (input) variables available to tackle these problems. In this paper, we t
Externí odkaz:
https://doaj.org/article/63c7d1b5e63f4638902ac27f05a137e0
Autor:
Sara Cornejo-Bueno, David Casillas-Pérez, Laura Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Elena Cerro-Prada, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
Publikováno v:
Atmosphere, Vol 12, Iss 6, p 679 (2021)
This work presents a full statistical analysis and accurate prediction of low-visibility events due to fog, at the A-8 motor-road in Mondoñedo (Galicia, Spain). The present analysis covers two years of study, considering visibility time series and e
Externí odkaz:
https://doaj.org/article/4816cc93a637409796621706de0a4fb9
Autor:
Sara Cornejo-Bueno, David Casillas-Pérez, Laura Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
Publikováno v:
Symmetry, Vol 12, Iss 6, p 1045 (2020)
This work presents an analysis of low-visibility event persistence and prediction at Villanubla Airport (Valladolid, Spain), considering Runway Visual Range (RVR) time series in winter. The analysis covers long- and short-term persistence and predict
Externí odkaz:
https://doaj.org/article/c893a425827340b7b4417ef33d63e8f8
Autor:
Laura Cornejo-Bueno, Lucas Cuadra, Silvia Jiménez-Fernández, Javier Acevedo-Rodríguez, Luis Prieto, Sancho Salcedo-Sanz
Publikováno v:
Energies, Vol 10, Iss 11, p 1784 (2017)
Wind Power Ramp Events (WPREs) are large fluctuations of wind power in a short time interval, which lead to strong, undesirable variations in the electric power produced by a wind farm. Its accurate prediction is important in the effort of efficientl
Externí odkaz:
https://doaj.org/article/21dfdf06d7f44577a2491d41fc2a7ca5
Publikováno v:
Solar Energy. 183:768-775
In this paper we evaluate the performance of several Machine Learning regression techniques in a problem of global solar radiation estimation from geostationary satellite data. Different types of neural networks, Support Vector Regression and Gaussia
Autor:
Adrián Aybar-Ruíz, Laura Cornejo-Bueno, Luis Prieto, Alberto Barea-Ropero, Carlos Camacho-Gómez, Sancho Salcedo-Sanz
Publikováno v:
Neural Computing and Applications. 32:391-402
In this paper, a hybrid system for wind power ramp events (WPREs) detection is proposed. The system is based on modeling the detection problem as a binary classification problem from atmospheric reanalysis data inputs. Specifically, a hybrid neuro-ev
Autor:
Manuel Dorado-Moreno, César Hervás-Martínez, Luis Prieto, Pedro Antonio Gutiérrez, Laura Cornejo-Bueno, Sancho Salcedo-Sanz
Publikováno v:
Neural Processing Letters. 52:57-74
Wind power ramp events (WPREs) are strong increases or decreases of wind speed in a short period of time. Predicting WPREs in wind farms is of vital importance given that they can produce damages in the turbines, and, in any case, they suddenly affec
Autor:
C. Casanova-Mateo, Antonio J. Caamaño, David Casillas-Perez, Sancho Salcedo-Sanz, Mihaela I. Chidean, Laura Cornejo-Bueno, Julia Sanz-Justo, Sara Cornejo-Bueno
Publikováno v:
Symmetry, Vol 12, Iss 1045, p 1045 (2020)
Symmetry
Volume 12
Issue 6
Symmetry
Volume 12
Issue 6
This work presents an analysis of low-visibility event persistence and prediction at Villanubla Airport (Valladolid, Spain), considering Runway Visual Range (RVR) time series in winter. The analysis covers long- and short-term persistence and predict
Autor:
Manuel Mucientes, J.C. Nieto-Borge, Sancho Salcedo-Sanz, Laura Cornejo-Bueno, Pablo Rodriguez-Mier
Publikováno v:
Ocean Engineering. 160:33-44
This paper proposes a regression Genetic Fuzzy System (GFS, FRULER) for a problem of sea wave parameters estimation from neighbor buoys, with application on wave energy systems. FRULER is a recently proposed, three-staged algorithm that combines an i
Autor:
Daniel Paredes, Sancho Salcedo-Sanz, Laura Cornejo-Bueno, Ricardo García-Herrera, Luis Prieto
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
This paper focuses on feature selection problems that arise in renewable energy applications. Feature selection is an important problem in machine learning, both in classification and regression problems. In renewable energy systems, feature selectio