Energy Consumption Forecasts by Gradient Boosting Regression Trees
Recent years have seen an increasing interest in developing robust, accurate and possibly fast forecasting methods for both energy production and consumption. Traditional approaches based on linear architectures are not able to fully model the relationships between variables, particularly when deali...
Main Authors: | Luca Di Persio, Nicola Fraccarolo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/5/1068 |
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