Ingeniería Industrial
Departamento
Santiago
Porras Alfonso
Publicaciones en las que colabora con Santiago Porras Alfonso (10)
2022
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Small Wind Turbine Power Forecasting Using Long Short-Term Memory Networks for Energy Management Systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Special Issue “Applications of Artificial Intelligence Systems”
Applied Sciences (Switzerland)
2021
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Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
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Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Small-Wind Turbine Power Generation Prediction from Atmospheric Variables Based on Intelligent Techniques
Advances in Intelligent Systems and Computing
2020
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Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques
Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings
2019
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Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization
Energy, Vol. 171, pp. 49-60
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Study of Data Pre-processing for Short-Term Prediction of Heat Exchanger Behaviour Using Time Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018
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Bioclimatic house heat exchanger behavior prediction with time series modeling
Advances in Intelligent Systems and Computing