Analysis of aggregated load consumption forecasting in short, medium and long term horizons using Dynamic Mode Decomposition-Reference-Cited by-同舟云学术

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Analysis of aggregated load consumption forecasting in short, medium and long term horizons using Dynamic Mode Decomposition

Published:2024-12 Issue: Volume:12 Page:1000-1013
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Muñoz Marc Carrillo^ORCID,Peñalba Mónica Aragüés^ORCID,González Antonio E. Saldaña^ORCID

Funder

Universitat Politecnica de Catalunya

Publisher

Elsevier BV

Reference39 articles.

1. Long-term forecasting of electrical loads in Kuwait using prophet and holt-winters models;Almazrouee;Appl. Sci. (Switzerland),2020

2. 365DataScience;Anon,2024

3. Physics-informed dynamic mode decomposition;Baddoo;Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci.,2023

4. A comparative analysis of XGBoost;Bentéjac,2020

5. Deep learning for time series forecasting;Brownlee,2020

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