Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil-Reference-Cited by-同舟云学术

Seq2Seq-LSTM With Attention for Electricity Load Forecasting in Brazil

Published:2024 Issue: Volume:12 Page:30020-30029
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Buratto William Gouvêa¹^ORCID,Muniz Rafael Ninno²^ORCID,Nied Ademir¹^ORCID,González Gabriel Villarrubia³^ORCID

Affiliation:

1. Department of Electrical Engineering, Electrical Engineering Graduate Program, Santa Catarina State University (UDESC), Joinville, Brazil

2. Department of Science and Technology, Production Engineering Graduate Program, Federal Fluminense University (UFF), Rio das Ostras, Brazil

3. Expert Systems and Applications Laboratory, Faculty of Science, University of Salamanca, Salamanca, Spain

Funder

Caracterización, Análisis e Intervención en la Prevención de Riesgos Laborales Enentornos de Trabajo Tradicionales Mediante la Aplicación de Tecnologías Disruptivas—Consejeria de Empleo Eindustria

Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil, under the Doctoral Scholarship

Council for Scientific and Technological Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10436101.pdf?arnumber=10436101

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