Wind power ramp event detection with a hybrid neuro-evolutionary approach

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b359c17bd0ff7dc0d6940f043fd185cf
https://doi.org/10.1007/s00521-018-3707-7

A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

Autor: J. Sanz-Justo, Adrián Aybar-Ruíz, Laura Cornejo-Bueno, P. Salvador-González, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz, C. Casanova-Mateo

Publikováno v: Solar Energy. 132:129-142

This paper presents a novel scheme for global solar radiation prediction, based on a hybrid neural-genetic algorithm. Specifically a grouping genetic algorithm (GGA) and an Extreme Learning Machine algorithm (ELM) have been merged in a single algorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01d1ed6c8bf7b979751f220fda9ef371
https://doi.org/10.1016/j.solener.2016.03.015

Wind power field reconstruction from a reduced set of representative measuring points

Autor: Adrián Aybar-Ruíz, Ricardo García-Herrera, Enrique Alexandre, Carlos Camacho-Gómez, Sancho Salcedo-Sanz

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
E-Prints Complutense. Archivo Institucional de la UCM

In this paper we deal with a problem of representative measuring points selection for long-term wind power analysis. It has direct applications such as wind farm prospective location or long-term power generation prediction in wind-based energy facil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fba2d4870e6a3dad9d43d7a604d968f
https://eprints.ucm.es/51785/

Correction to: Wind power ramp event detection with a hybrid neuro-evolutionary approach

Autor: Sancho Salcedo-Sanz, Carlos Camacho-Gómez, Adrián Aybar-Ruíz, Laura Cornejo-Bueno, Luis Prieto, Alberto Barea-Ropero

Publikováno v: Neural Computing and Applications. 32:403-403

The article L. Cornejo-Bueno, C. Camacho-Gomez, A. Aybar-Ruiz, L. Prieto, A. Barea-Ropero, S. Salcedo-Sanz, “Wind power ramp event detection with a hybrid neuro-evolutionary approach,” Cornejo-Bueno, L., Camacho-Gomez, C., Aybar-Ruiz, A. et al. N

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f6e706aef0479be667697b9a9ad6736
https://doi.org/10.1007/s00521-019-04122-y

A Grouping Harmony Search Algorithm for Assigning Resources to Users in WCDMA Mobile Networks

Autor: Adrián Aybar-Ruíz, Jose A. Portilla-Figueras, Sancho Salcedo-Sanz, Javier Del Ser, Lucas Cuadra

Publikováno v: BIRD: BCAM's Institutional Repository Data
instname
Advances in Intelligent Systems and Computing ISBN: 9789811037276
ICHSA

This paper explores the feasibility of a particular implemen- tation of a Grouping Harmony Search (GHS) algorithm to assign re- sources (codes, aggregate capacity, power) to users in Wide-band Code Division Multiple Access (WCDMA) networks. We use a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a780112891f0c3cb1668a869fc7da335
http://hdl.handle.net/20.500.11824/1181