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L

L. Cornejo-Bueno

Universidad de Alcalá

15H指数
47论文数
1.1K被引数
收录论文 12
发表时间
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A probabilistic alert system for extreme wind events prediction using quantile regression ensembles基于分位数回归集成模型的极端风事件预测概率警报系统
errEnergy Conversion and Management
IF10.9
err2025-09-29
err0
errOAAI
errCésar Peláez-Rodríguez; Jorge Pérez-Aracil; Carlos Cruz de la Torre; Laura Cornejo-Bueno; Luis Prieto-Godino; Enrique Alexandre-Cortizo; Sancho Salcedo-Sanz
err分享
err收藏
Accurate calibration of hydrological models with evolutionary computation multi-method ensembles水文模型与进化计算多方法集的精确标定
errEnvironmental Modelling & Software
IF4.6
err2025-09-27
err0
PREAI
errEugenio Lorente-Ramos; Francisco Gomariz-Castillo; Francisco Pellicer-Martínez; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz
err分享
err收藏
A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization基于元启发式算法的不同运动学尾流模型在高效风力发电场布局优化中的比较研究
errRESULTS IN ENGINEERING
IF7.9
err2025-06-01
err0
errOAAI
errRomero-Barrera, Antonio J.; Casillas-Perez, David; Cornejo-Bueno, Laura; Perez-Aracil, Jorge; Paricio-Garcia, Alvaro; Lopez-Carmona, Miguel A.; Blanco-Sancho, Juan; Ghimire, Sujan; Deo, Ravinesh C.; Caamano, Antonio J.; Salcedo-Sanz, Sancho
err分享
err收藏
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
errAPPLIED SOFT COMPUTING
IF6.6
err2022-03-01
err22
errOAAI
errDel Ser, J.; Casillas-Perez, D.; Cornejo-Bueno, L.; Prieto-Godino, L.; Sanz-Justo, J.; Casanova-Mateo, C.; Salcedo-Sanz, S.
err分享
err收藏
Machine learning regressors for solar radiation estimation from satellite data用于从卫星数据估算太阳辐射的机器学习回归器
errSOLAR ENERGY
IF6.6
err2019-05-01
err102
PREAI
errCornejo-Bueno, L.; Casanova-Mateo, C.; Sanz-Justo, J.; Salcedo-Sanz, S.
err分享
err收藏
Feature selection in machine learning prediction systems for renewable energy applications面向可再生能源应用的机器学习预测系统中的特征选择
errRENEWABLE & SUSTAINABLE ENERGY REVIEWS
IF16.3
err2018-07-01
err122
PREAI
errSalcedo-Sanz, S.; Cornejo-Bueno, L.; Prieto, L.; Paredes, D.; Garcia-Herrera, R.
err分享
err收藏
Bayesian optimization of a hybrid system for robust ocean wave features prediction
errNEUROCOMPUTING
IF6.5
err2018-01-01
err52
errOAAI
errCornejo-Bueno, L.; Garrido-Merchan, E. C.; Hernandez-Lobato, D.; Salcedo-Sanz, S.
err分享
err收藏
An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
errAPPLIED ENERGY
IF11
err2018-01-01
err79
PREAI
errSalcedo-Sanz, Sancho; Deo, Ravinesh C.; Cornejo-Bueno, Laura; Camacho-Gomez, Carlos; Ghimire, Sujan
err分享
err收藏
Robust estimation of wind power ramp events with reservoir computing
errRENEWABLE ENERGY
IF9.1
err2017-10-01
err25
PREAI
errDorado-Moreno, M.; Cornejo-Bueno, L.; Gutierrez, P. A.; Prieto, L.; Hervas-Martinez, C.; Salcedo-Sanz, S.
err分享
err收藏
Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm - Extreme Learning Machine approach海洋能源应用的重要波高和能通量预测: 分组遗传算法-极限学习机方法
errRENEWABLE ENERGY
IF9.1
err2016-11-01
err91
PREAI
errCornejo-Bueno, L.; Nieto-Borge, J. C.; Garcia-Diaz, P.; Rodriguez, G.; Salcedo-Sanz, S.
err分享
err收藏
Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images
errCOASTAL ENGINEERING
IF4.5
err2016-08-01
err58
PREAI
errCornejo-Bueno, L.; Nieto Borge, J. C.; Alexandre, E.; Hessner, K.; Salcedo-Sanz, S.
err分享
err收藏
A novel Grouping Genetic Algorithm-Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs一种新颖的分组遗传算法-极限学习机方法，用于从数值天气模型输入进行全局太阳辐射预测
errSOLAR ENERGY
IF6.6
err2016-07-01
err95
PREAI
errAybar-Ruiz, A.; Jimenez-Fernandez, S.; Cornejo-Bueno, L.; Casanova-Mateo, C.; Sanz-Justo, J.; Salvador-Gonzalez, P.; Salcedo-Sanz, S.
err分享
err收藏

研究方向

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合作学者
合作期刊
R
Ravinesh C. Deo
H 指数: 81 · 论文数: 588
S
Sancho Salcedo‐Sanz
H 指数: 60 · 论文数: 510
J
Javier Del Ser
H 指数: 59 · 论文数: 560
R
Ricardo García‐Herrera
H 指数: 57 · 论文数: 353
C
César Hervás‐Martínez
H 指数: 45 · 论文数: 366
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