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Alejandro Blanco-M
Alejandro Blanco-M
U Science Tech, University of Vic (UVIC)
Verified email at uvic.cat - Homepage
Title
Cited by
Cited by
Year
Feature Selection Algorithms for Wind Turbine Failure Prediction
P Marti-Puig, A Blanco-M, JJ Cárdenas, J Cusidó, J Solé-Casals
Energies 12 (3), 453, 2019
322019
Effects of the pre-processing algorithms in fault diagnosis of wind turbines
P Marti-Puig, A Blanco-M, JJ Cárdenas, J Cusidó, J Solé-Casals
Environmental modelling & software 110, 119-128, 2018
302018
Identifying Health Status of Wind Turbines by Using Self Organizing Maps and Interpretation-Oriented Post-Processing Tools
A Blanco-M., K Gibert, P Marti-Puig, J Cusidó, J Solé-Casals
Energies 11 (4), 21, 2018
252018
Wind turbine prognosis models based on SCADA data and extreme learning machines
P Marti-Puig, A Blanco-M, M Serra-Serra, J Solé-Casals
Applied Sciences 11 (2), 590, 2021
152021
A Text-Mining Approach to Assess the Failure Condition of Wind Turbines Using Maintenance Service History
A Blanco-M., P Marti-Puig, K Gibert, J Cusidó, J Solé-Casals
Energies 12 (10), 2019
132019
Impact of target variable distribution type over the regression analysis in wind turbine data
A Blanco-M, J Sole-Casals, P Marti-Puig, JJCI Justicia, J Cusido
2017 International Conference and Workshop on Bioinspired Intelligence …, 2017
62017
A Literature Review of E-government Services with Gamification Elements
RS Contreras-Espinosa, A Blanco-M
International Journal of Public Administration 45 (13), 964-980, 2022
42022
Exploring the Effect of Temporal Aggregation on SCADA Data for Wind Turbine Prognosis Using a Normality Model
P Marti-Puig, A Bennásar-Sevillá, A Blanco-M, J Solé-Casals
Applied Sciences 11 (14), 6405, 2021
22021
Clustering Users to Determine the Most Suitable Gamification Elements
A Blanco-M, RS Contreras-Espinosa, J Solé-Casals
Sensors 22 (1), 308, 2021
12021
Gamification in E-government Platforms and Services: A Literature Review
RS Contreras-Espinosa, A Blanco-M
2020 6th International Conference of the Immersive Learning Research Network …, 2020
12020
Pre-processing SCADA data from wind turbines as a previous stage to the application of prognosis algorithms
A Blanco, JJ Cárdenas, I Justicia, J Solé-Casals, P Marti-Puig
2016
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