logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
J

Jorge Pérez‐Aracil

universidad de alcala

14H指数
122论文数
750被引数
收录论文 33
发表时间
logo
Explainable Singular Spectrum Analysis deep learning model for half-hourly electricity price prediction可解释奇异谱分析深度学习模型用于半小时间隔电价预测
errApplied Energy
IF11
err2026-02-20
err0
PREAI
errSujan Ghimire; Ravinesh C. Deo; Hangyue Liu; Konstantin Hopf; Thong Nguyen-Huy; David Casillas-Pérez; Jorge Pérez-Aracil; Sancho Salcedo-Sanz
err分享
err收藏
Constructing New Fractal-like Particle Aggregates Using Seeded DLA and Concentration Gradient Diffusion Approaches
errFractal and Fractional
IF3.3
err2026-01-20
err0
errOAAI
errSancho Salcedo-Sanz; Pablo Álvarez-Couso; Luis Castelo-Sardina; Jorge Pérez-Aracil
err分享
err收藏
Non-linear transformations combinations on fractal structures and aggregates分形结构和聚集体上的非线性变换组合
errAIMS Mathematics
IF1.8
err2026-01-01
err0
PREAI
errSalcedo-Sanz, Sancho; Alvarez-Couso, Pablo; Castelo-Sardina, Luis; Perez-Aracil, Jorge
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
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning基于多任务深度学习的多风电场多步风速同时预测
errINTEGRATED COMPUTER-AIDED ENGINEERING
IF5.3
err2025-05-15
err0
PREAI
errRafael Ayllón-Gavilán; Antonio Manuel Gómez-Orellana; Víctor Manuel Vargas; David Guijo-Rubio; Jorge Pérez-Aracil; Sancho Salcedo-Sanz; Pedro Antonio Gutiérrez; César Hervás-Martínez
err分享
err收藏
Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms
errADVANCED ENGINEERING INFORMATICS
IF9.9
err2025-05-01
err0
PREAI
errMarina, Cosmin Madalin; Perez-Aracil, Jorge; Lorente-Ramos, Eugenio; Casanova-Mateo, Carlos; Salcedo-Sanz, Sancho
err分享
err收藏
Hybridizing Machine Learning Algorithms With Numerical Models for Accurate Wind Power Forecasting将机器学习算法与数值模型混合用于精确的风电功率预测
errEXPERT SYSTEMS
IF2.3
err2025-01-08
err0
errOAAI
errAbad-Santjago, Alvaro; Pelaez-Rodriguez, C.; Perez-Aracil, J.; Sanz-Justo, J.; Casanova-Mateo, C.; Salcedo-Sanz, S.
err分享
err收藏
Learning for Visible Light Communications: Potential Scenarios and Applications学习可见光通信：潜在场景与应用
errIEEE Consumer Electronics Magazine
IF4.1
err2025-01-03
err0
PREAI
errMáximo Morales-Céspedes; Jorge Pérez-Aracil; Ana García-Armada; Sancho Salcedo-Sanz
err分享
err收藏
Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events基于模糊的集成方法，用于对极端重要波高事件进行准确的长期预测和解释
errAPPLIED OCEAN RESEARCH
IF4.4
err2024-12-01
err0
errOAAI
errPelaez-Rodriguez, C.; Perez-Aracil, J.; Gomez-Orellana, A. M.; Guijo-Rubio, D.; Vargas, V. M.; Gutierrez, P. A.; Hervas-Martinez, C.; Salcedo-Sanz, S.
err分享
err收藏
Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields
errANNALS OF THE NEW YORK ACADEMY OF SCIENCES
IF4.8
err2024-10-30
err0
errOAAI
errPerez-Aracil, Jorge; Marina, Cosmin M.; Zorita, Eduardo; Barriopedro, David; Zaninelli, Pablo; Giuliani, Matteo; Castelletti, Andrea; Gutierrez, Pedro A.; Salcedo-Sanz, Sancho
err分享
err收藏
TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization
errEXPERT SYSTEMS
IF2.3
err2024-09-05
err0
errOAAI
errPalomo-Alonso, A.; Costa, V. G.; Moreno-Saavedra, L. M.; Lorente-Ramos, E.; Perez-Aracil, J.; Pedreira, C. E.; Salcedo-Sanz, S.
err分享
err收藏
Interpretable extreme wind speed prediction with concept bottleneck models使用概念瓶颈模型进行可解释的极端风速预测
errRENEWABLE ENERGY
IF9.1
err2024-09-01
err0
errOAAI
errAlvarez-Rodriguez, Clara; Parrado-Hernandez, Emilio; Perez-Aracil, Jorge; Prieto-Godino, Luis; Salcedo-Sanz, Sancho
err分享
err收藏
An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker
errHELIYON
IF3.6
err2024-06-01
err0
errOAAI
errPelaez-Rodriguez, Cesar; Magdaleno, Alvaro; Teran, Jose Maria Garcia; Perez-Aracil, Jorge; Salcedo-Sanz, Sancho; Lorenzana, Antolin
err分享
err收藏
Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams
errRESULTS IN ENGINEERING
IF7.9
err2024-06-01
err4
errOAAI
errHernandez-Diaz, A. M.; Perez-Aracil, J.; Lorente-Ramos, E.; Marina, C. M.; Pelaez-Rodriguez, C.; Salcedo-Sanz, S.
err分享
err收藏
Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions不同条件下锂离子电池的机器学习健康估计
errBIOINSPIRED SYSTEMS FOR TRANSLATIONAL APPLICATIONS: FROM ROBOTICS TO SOCIAL ENGINEERING, PT II, IWINAC 2024
IF0
err2024-05-31
err0
PREAI
errLeite, Gabriel M. C.; Perez-Aracil, Jorge; Gil Marcelino, Carolina; Garcia-Gutierrez, Gabriel; Prodanovic, Milan; Garcia-Quismondo, Enrique; Pinilla, Sergio; Palma, Jesus; Jimenez-Fernandez, Silvia; Salcedo-Sanz, Sancho
err分享
err收藏
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2024-05-01
err3
errOAAI
errPelaez-Rodriguez, C.; Perez-Aracil, J.; Marina, C. M.; Prieto-Godino, L.; Casanova-Mateo, C.; Gutierrez, P. A.; Salcedo-Sanz, S.
err分享
err收藏
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches基于机器学习和深度学习的多变量时间序列方法的自行车共享和缆车需求预测
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-03-01
err6
errOAAI
errPelaez-Rodriguez, Cesar; Perez-Aracil, Jorge; Fister, Dusan; Torres-Lopez, Ricardo; Salcedo-Sanz, Sancho
err分享
err收藏
An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression
errCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
IF4.8
err2024-03-01
err2
errOAAI
errPelaez-Rodriguez, C.; Torres-Lopez, R.; Perez-Aracil, J.; Lopez-Laguna, N.; Sanchez-Rodriguez, S.; Salcedo-Sanz, S.
err分享
err收藏
Evolving interpretable decision trees for reinforcement learning
errartificial intelligence review
IF4.6
err2024-02-01
err5
PREAI
errCosta, Vinicius G.; Perez-Aracil, Jorge; Salcedo-Sanz, Sancho; Pedreira, Carlos E.
err分享
err收藏
Improving the prediction of extreme wind speed events with generative data augmentation techniques
errRENEWABLE ENERGY
IF9.1
err2024-02-01
err4
PREAI
errVega-Bayo, M.; Perez-Aracil, J.; Prieto-Godino, L.; Salcedo-Sanz, S.
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
R
Ravinesh C. Deo
H 指数: 81 · 论文数: 588
E
Eduardo Zorita
H 指数: 69 · 论文数: 492
A
Andrea Castelletti
H 指数: 62 · 论文数: 641
S
Sancho Salcedo‐Sanz
H 指数: 60 · 论文数: 509
J
Javier Del Ser
H 指数: 59 · 论文数: 560
查看更多