Explaining When Deep Learning Models Are Better for Time Series Forecasting

There is a gap of knowledge about the conditions that explain why a method has a better forecasting performance than another. Specifically, this research aims to find the factors that can influence deep learning models to work better with time series. We generated linear regression models to analyze...

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Bibliographic Details
Main Authors: Martín Solís, Luis-Alexander Calvo-Valverde
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/68/1/1
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