Multiple-Input–Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting-Reference-Cited by-同舟云学术

Multiple-Input–Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting

Published:2024-06 Issue:6 Volume:32 Page:3703-3715
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Orang Omid¹^ORCID,Bitencourt Hugo Vinicius²^ORCID,de Souza Luiz Augusto Facury³^ORCID,Lucas Patrícia de Oliveira⁴^ORCID,Silva Petrônio C. L.⁵^ORCID,Guimarães Frederico Gadelha⁶^ORCID

Affiliation:

1. Computer Science, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, Brazil

2. Electrical Engineering, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, Brazil

3. Institut Polytechnique de Paris, Palaiseau, France

4. Federal Institute of Northern Minas Gerais, IFNMG, Salinas, Brazil

5. Federal Institute of Northern Minas Gerais, IFNMG, Januária, Brazil

6. Department of Computer Science, Universidade Federal de Minas Gerais - UFMG, Belo Horizonte, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Foundation for Research of the State of Minas Gerais

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10547166/10480246.pdf?arnumber=10480246

Reference61 articles.

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3. Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

4. Multi-output Spatio-temporal air pollution forecasting using neural network approach

5. Energy Prediction and Optimization for Smart Homes with Weather Metric-Weight Coefficients