TXtreme: transformer-based extreme value prediction framework for time series forecasting

TXtreme: transformer-based extreme value prediction framework for time series forecasting

Abstract Time Series Forecasting (TSF) is crucial in various real-world applications such as climate forecasting and electricity demand prediction. Unlike traditional datasets, time series data points are influenced by their past values, necessitating specialized techniques to model these sequential...

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Bibliographic Details
Main Authors: Hemant Yadav, Amit Thakkar
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Applied Sciences
Subjects:
Extreme value theory
Transformer
Mixture models
Hybrid model
Time series forecasting
Online Access:https://doi.org/10.1007/s42452-025-06478-4
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https://doi.org/10.1007/s42452-025-06478-4

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