A deep-learning framework for forecasting renewable demands using variational auto-encoder and bidirectional long short-term memory-Reference-Cited by-同舟云学术

A deep-learning framework for forecasting renewable demands using variational auto-encoder and bidirectional long short-term memory

Published:2024-06 Issue: Volume:38 Page:101245
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Kim Taehyun,Lee Dongmin,Hwangbo Soonho

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference57 articles.

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