ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Time series"
Mostrando ítems 1-9 de 9
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A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
(MDPI, 2023-02)Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in ...
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An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural ...
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Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. ...
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Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
(Elsevier, 2013)This work explores the use of different seismicity indicators as inputs for artificial neural networks. The combination ...
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Pattern recognition to forecast seismic time series
(Elsevier, 2010)Earthquakes arrive without previous warning and can destroy a whole city in a few seconds, causing numerous deaths ...
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PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior ...
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Recent Advances in Energy Time Series Forecasting
(MDPI, 2017)This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published ...
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Short-term solar irradiance forecasting in streaming with deep learning
(Elsevier, 2023)Solar energy is one of the most common and promising sources of renewable energy. In photovoltaic (PV) systems, operators ...