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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2020-06-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/340695 |