A truncated Gaussian distribution based multi-scale segment-wise fusion transformer model for multi-step commodity price forecasting-Reference-Cited by-同舟云学术

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A truncated Gaussian distribution based multi-scale segment-wise fusion transformer model for multi-step commodity price forecasting

Published:2024-07 Issue: Volume:133 Page:108434
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Peng Xin,Chen Zhengxiang,Zhang Jiale^ORCID,Li Zhi^ORCID,Du Wenli

Publisher

Elsevier BV

Reference37 articles.

1. Discriminative jackknife: Quantifying uncertainty in deep learning via higher-order influence functions;Alaa,2020

2. Multi-step ahead forecasts for electricity prices using NARX: A new approach, a critical analysis of one-step ahead forecasts;Andalib;Energy Convers. Manag.,2009

3. The truncated normal distribution;Burkardt;Dep. Sci. Comput. Website, Florida State Univ.,2014

4. Multi-step-ahead crude oil price forecasting using a hybrid grey wave model;Chen;Physica A,2018

5. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning;Gal,2016

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