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

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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Bibliographic Details
Main Authors: Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Miomir Rakic, Roma Strulak-Wójcikiewicz, Ruxandra Stoean
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
metaheuristic optimizers
deep learning
long short-term memory networks
energy load prediction
time series
Online Access:https://www.mdpi.com/1996-1073/16/3/1434

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https://www.mdpi.com/1996-1073/16/3/1434

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