Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables

Transformer-Based Models for Probabilistic Time Series Forecasting with Explanatory Variables

Accurate demand forecasting is essential for retail operations as it directly impacts supply chain efficiency, inventory management, and financial performance. However, forecasting retail time series presents significant challenges due to their irregular patterns, hierarchical structures, and strong...

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Bibliographic Details
Main Authors: Ricardo Caetano, José Manuel Oliveira, Patrícia Ramos
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
transformers
time series
probabilistic forecasting
retail
covariates
deep learning
Online Access:https://www.mdpi.com/2227-7390/13/5/814
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