ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Time series forecasting"
Mostrando ítems 1-7 de 7
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A new approach based on association rules to add explainability to time series forecasting models
(ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...
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A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system
(Institute of Electrical and Electronics Engineers (IEEE), 2019)The use of electric vehicle across the world has become one of the most challenging issues for environmental policies. The ...
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DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting
(ScienceDirect, 2022-10)The agricultural sector has been, and still is, the most important economic sector in many countries. Due to advances in ...
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Discovery of motifs to forecast outlier occurrence in time series
(Elsevier, 2011)The forecasting process of real-world time series has to deal with especially unexpected values, commonly known as outliers. ...
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Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ...
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Temporal convolutional networks applied to energy-related time series forecasting
(MDPI, 2020)Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric ...
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Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market
(MDPI, 2021)The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity ...