Electricity demand forecasting in industrial and residential facilities using ensemble machine learning

This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies. Short term electricity demand forecasting is beneficial for both consumers and suppliers, as it allows improving energy efficiency policies an...

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Bibliographic Details
Main Authors: Rodrigo Porteiro, Luis Hernández-Callejo, Sergio Nesmachnow
Format: Article
Language:English
Published: Universidad de Antioquia 2020-06-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/340695