Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models

Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models

Electric load forecasting is crucial for the metallurgy industry because it enables effective resource allocation, production scheduling, and optimized energy management. To achieve an accurate load forecasting, it is essential to develop an efficient approach. In this study, we considered the time...

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Bibliographic Details
Main Authors: Fachrizal Aksan, Vishnu Suresh, Przemysław Janik, Tomasz Sikorski
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
deep learning models
short-term electric load forecasting
time factor
variational mode decomposition
Online Access:https://www.mdpi.com/1996-1073/16/14/5381

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https://www.mdpi.com/1996-1073/16/14/5381

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