Sancho
Salcedo Sanz
Catedrático/a de Universidad
Universidad Complutense de Madrid
Madrid, EspañaPublikationen in Zusammenarbeit mit Forschern von Universidad Complutense de Madrid (36)
2024
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Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44
2023
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Heat Waves: Physical Understanding and Scientific Challenges
Reviews of Geophysics, Vol. 61, Núm. 2
2021
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k-Gaps: a novel technique for clustering incomplete climatological time series
Theoretical and Applied Climatology, Vol. 143, Núm. 1-2, pp. 447-460
2020
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Evolving energy demand estimation models over macroeconomic indicators
GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference
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Particle swarm grammatical evolution for energy demand estimation
Energy Science and Engineering, Vol. 8, Núm. 4, pp. 1068-1079
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Selection of optimal proxy locations for temperature field reconstructions using evolutionary algorithms
Scientific Reports, Vol. 10, Núm. 1
2019
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Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods
Global and Planetary Change, Vol. 178, pp. 15-34
2018
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Automatic generation of models for energy demand estimation using Grammatical Evolution
Energy, Vol. 164, pp. 183-193
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Feature selection in machine learning prediction systems for renewable energy applications
Renewable and Sustainable Energy Reviews, Vol. 90, pp. 728-741
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Wind power field reconstruction from a reduced set of representative measuring points
Applied Energy, Vol. 228, pp. 1111-1121
2017
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A CRO-species optimization scheme for robust global solar radiation statistical downscaling
Renewable Energy, Vol. 111, pp. 63-76
2016
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Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing
Journal of Geophysical Research: Atmospheres, Vol. 121, Núm. 22, pp. 591-608
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Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing
Journal of Geophysical Research, Vol. 121, Núm. 22, pp. 13,591-13,608
2014
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Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization - Extreme learning machine approach
Energy Conversion and Management, Vol. 87, pp. 10-18
2013
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Foreword
Statistical and Soft Computing Approaches in Insurance Problems
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Multi-decadal variability in a centennial reconstruction of daily wind
Applied Energy, Vol. 105, pp. 30-46
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Statistical and soft computing approaches in insurance problems
Nova Science Publishers, Inc., pp. 1-138
2012
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Evaluating the internationalization success of companies through a hybrid grouping harmony search-extreme learning machine approach
IEEE Journal on Selected Topics in Signal Processing, Vol. 6, Núm. 4, pp. 388-398
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Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm
Applied Energy, Vol. 89, Núm. 1, pp. 347-354
2011
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Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evolutionary computing
Energy, Vol. 36, Núm. 3, pp. 1571-1581