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Short-Term Electricity Demand Forecasting via Variational Autoencoders and Batch Training-Based Bidirectional Long Short-Term Memory

AuthID
P-00W-J0N

Author(s)

Moradzadeh, A

Moayyed, H

Zare, K

Mohammadi Ivatloo, B

Tipo de Documento

Article

Year published

2022

Publicado

in Sustainable Energy Technologies and Assessments, ISSN: 2213-1388

Volume: 52, Páginas: 102209

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Scopus^®

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Publication Identifiers

DOI: 10.1016/j.seta.2022.102209

SCOPUS: 2-s2.0-85129460245

Source Identifiers

ISSN: 2213-1388

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Short-Term Electricity Demand Forecasting via Variational Autoencoders and Batch Training-Based Bidirectional Long Short-Term Memory

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Short-Term Electricity Demand Forecasting via Variational Autoencoders and Batch Training-Based Bidirectional Long Short-Term Memory

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