On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

An effective energy oversight represents a major concern throughout the world, and the problem has become even more stringent recently. The prediction of energy load and consumption depends on various factors such as temperature, plugged load, etc. The machine learning and deep learning (DL) approac...

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Detalhes bibliográficos

Principais autores:	Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Miomir Rakic, Roma Strulak-Wójcikiewicz, Ruxandra Stoean
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-02-01
coleção:	Energies
Assuntos:	metaheuristic optimizers deep learning long short-term memory networks energy load prediction time series
Acesso em linha:	https://www.mdpi.com/1996-1073/16/3/1434
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