Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx-Reference-Cited by-同舟云学术

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Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx

Published:2023-04 Issue:2 Volume:39 Page:884-900
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Olivares Kin G.^ORCID,Challu Cristian^ORCID,Marcjasz Grzegorz,Weron Rafał,Dubrawski Artur^ORCID

Funder

National Science Foundation

National Aeronautics and Space Administration

U.S. Department of Homeland Security

Defense Advanced Research Projects Agency

Narodowe Centrum Nauki

Ministry of Education and Science

Publisher

Elsevier BV

Subject

Business and International Management

Reference48 articles.

1. Why does forecast combination work so well?;Atiya;International Journal of Forecasting,2020

2. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;Bai;Computing Research Repository,2018

3. Neural forecasting: Introduction and literature overview;Benidis;Computing Research Repository,2020

4. Algorithms for hyper-parameter optimization;Bergstra,2011

5. Bagging predictors;Breiman;Machine Learning,1996

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