Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting

Novel Data-Driven Models Applied to Short-Term Electric Load Forecasting

This work brings together and applies a large representation of the most novel forecasting techniques, with origins and applications in other fields, to the short-term electric load forecasting problem. We present a comparison study between different classic machine learning and deep learning techni...

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Bibliographic Details
Main Authors: Manuel Lopez-Martin, Antonio Sanchez-Esguevillas, Luis Hernandez-Callejo, Juan Ignacio Arribas, Belen Carro
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
short-term electric load forecasting
deep learning
machine learning
dynamic mode decomposition
deep learning ensemble model
Online Access:https://www.mdpi.com/2076-3417/11/12/5708

Internet

https://www.mdpi.com/2076-3417/11/12/5708

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