Cooperative ensemble learning model improves electric short-term load forecasting-Reference-Cited by-同舟云学术

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Cooperative ensemble learning model improves electric short-term load forecasting

Published:2023-01 Issue: Volume:166 Page:112982
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Ribeiro Matheus Henrique Dal Molin,da Silva Ramon Gomes,Ribeiro Gabriel Trierweiler^ORCID,Mariani Viviana Cocco,Coelho Leandro dos Santos

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Araucária

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference70 articles.

1. Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting;Qiu;Appl Soft Comput,2017

2. Probabilistic electric load forecasting: A tutorial review;Hong;Int J Forecast,2016

3. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings;Ahmad;Sustainable Cities Soc,2020

4. Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia;Al-Musaylh;Adv Eng Inform,2018

5. Short term electricity load forecasting using a hybrid model;Zhang;Energy,2018

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