A Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption

The ability to predict future energy consumption is very important for energy distribution companies because it allows them to estimate energy needs and supply them accordingly. Consumption prediction makes it possible for those companies to optimize their processes by, for example, providing them w...

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Detalhes bibliográficos
Autor principal: Gonzalez-Briones, Alfonso (author)
Outros Autores: Hernandez, Guillermo (author), Pinto, Tiago (author), Vale, Zita (author), Corchado, Juan M. (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Energy Forecasting
Machine Learning
Gradient Boosting
XGBoost
Lasso
SGDRegressor
MLP
Ridge regression
Texto completo:http://hdl.handle.net/10400.22/19386
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/19386

Texto Completo

http://hdl.handle.net/10400.22/19386

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