Canyam
AI summaries for academic research
Home
Literature Help
Subscribe
Favorites
Tools
Analysis
Summary
Patents
Patent Payment
Patent Search
Not logged in
Back
I
Inés M. Galván
Universidad Carlos III de Madrid
19
H-index
88
Paper Count
1.2K
Citation Count
0
Related Insights
Subscribe
Published Papers
18
Publication Date
Publication Date
Impact Factor
Citations
A novel method for modeling renewable power production using ERA5: Spanish wind energy
Sustainable Energy Technologies and Assessments
IF
7
2025-07-01
0
OA
AI
Antonio Jiménez-Garrote; Guadalupe Sánchez-Hernández; Miguel López-Cuesta; Inés María Galván; Ricardo Aler; David Pozo-Vázquez
Share
Save
Pareto Optimal Prediction Intervals with Hypernetworks
APPLIED SOFT COMPUTING
IF
6.6
2023-01-01
2
OA
AI
Alcantara, Antonio; Galvan, Ines M.; Aler, Ricardo
Share
Save
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation
APPLIED INTELLIGENCE
IF
3.5
2022-10-06
8
OA
AI
Garcia-Cuesta, Esteban; Aler, Ricardo; del Pozo-Vazquez, David; Galvan, Ines M.
Share
Save
Deep neural networks for the quantile estimation of regional renewable energy production
APPLIED INTELLIGENCE
IF
3.5
2022-08-02
14
OA
AI
Alcantara, Antonio; Galvan, Ines M.; Aler, Ricardo
Share
Save
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types
APPLIED SOFT COMPUTING
IF
6.6
2021-09-01
16
OA
AI
Galvan, Ines M.; Huertas-Tato, Javier; Rodriguez-Benitez, Francisco J.; Arbizu-Barrena, Clara; Pozo-Vazquez, David; Aler, Ricardo
Share
Save
A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning
SOLAR ENERGY
IF
6.6
2020-01-01
38
PRE
AI
Huertas-Tato, Javier; Aler, Ricardo; Galvan, Ines M.; Rodriguez-Benitez, Francisco J.; Arbizu-Barrena, Clara; Pozo-Vazquez, David
Share
Save
A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment
SOLAR ENERGY
IF
6.6
2020-01-01
35
PRE
AI
Rodriguez-Beritez, Francisco J.; Arbizu-Barrena, Clara; Huertas-Tato, Javier; Aler-Mur, Ricardo; Galvan-Leon, Ines; Pozo-Vazquez, David
Share
Save
Automatic Cloud-Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
IF
3.4
2017-10-19
30
OA
AI
Huertas-Tato, J.; Rodriguez-Benitez, F. J.; Arbizu-Barrena, C.; Aler-Mur, R.; Galvan-Leon, I.; Pozo-Vazquez, D.
Share
Save
Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting
SOLAR ENERGY
IF
6.6
2017-07-01
68
OA
AI
Aler, Ricardo; Galvan, Ines M.; Ruiz-Arias, Jose A.; Gueymard, Christian A.
Share
Save
A filter attribute selection method based on local reliable information
APPLIED INTELLIGENCE
IF
3.5
2017-06-17
3
PRE
AI
Martin, Ricardo; Aler, Ricardo; Galvan, Ines M.
Share
Save
Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2015-09-01
11
OA
AI
Aler, Ricardo; Galvan, Ines M.
Share
Save
Time-stamped resampling for robust evolutionary portfolio optimization
EXPERT SYSTEMS WITH APPLICATIONS
IF
7.5
2012-09-01
12
OA
AI
Garcia, Sandra; Quintana, David; Galvan, Ines M.; Isasi, Pedro
Share
Save
RECURSIVE DISCRIMINANT REGRESSION ANALYSIS TO FIND HOMOGENEOUS GROUPS
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
IF
6.4
2011-11-21
5
OA
AI
Garcia-Cuesta, Esteban; Galvan, Ines M.; De Castro, Antonio J.
Share
Save
A Lazy Learning Approach for Building Classification Models
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF
3.7
2011-05-31
12
OA
AI
Galvan, Ines M.; Valls, Jose M.; Garcia, Miguel; Isasi, Pedro
Share
Save
Learning radial basis neural networks in a lazy way:: A comparative study
NEUROCOMPUTING
IF
6.5
2008-08-01
3
OA
AI
Valls, Jose M.; Galvan, Ines M.; Isasi, Pedro
Share
Save
Application of recurrent neural networks in batch reactors - Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
IF
3.9
1998-03-01
16
OA
AI
Galvan, IM; Zaldivar, JM
Share
Save
Application of recurrent neural networks in batch reactors Part I. NARMA modelling of the dynamic behaviour of the heat transfer fluid temperature
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
IF
3.9
1997-12-01
13
OA
AI
Galvan, IM; Zaldivar, JM
Share
Save
The use of neural networks for fitting complex kinetic data
COMPUTERS & CHEMICAL ENGINEERING
IF
3.9
1996-01-01
65
OA
AI
Galvan, IM; Zaldivar, JM; Hernandez, H; Molga, E
Share
Save
Research Directions
The data has not been retrieved yet.
Co-authors
Cooperation Journals
C
Christian A. Gueymard
H-index: 62 · Papers: 309
D
David Pozo‐Vázquez
H-index: 40 · Papers: 114
J
José A. Ruiz‐Arias
H-index: 36 · Papers: 107
J
J.M. Zaldı́var
H-index: 35 · Papers: 123
P
Pedro Isasi
H-index: 21 · Papers: 185
View more