Deep Learning for Time Series Forecasting: Advances and Open Problems

Deep Learning for Time Series Forecasting: Advances and Open Problems

A time series is a sequence of time-ordered data, and it is generally used to describe how a phenomenon evolves over time. Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep learning, the currently leading field of machine...

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Bibliographic Details
Main Authors:	Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Information
Subjects:	short-term forecasting long-term forecasting recurrent neural networks temporal convolutional neural networks graph neural networks deep gaussian processes
Online Access:	https://www.mdpi.com/2078-2489/14/11/598

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