Open AccessPredicting Household power consumption: Using Gradient Boosting and Deep Quantile Regression Model
Author(s) -
Gcinizwe Dlamini,
Swati Megha
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1694/1/012031
Subject(s) - gradient boosting , quantile regression , univariate , computer science , consumption (sociology) , energy consumption , quantile , electricity , econometrics , boosting (machine learning) , deep learning , artificial intelligence , machine learning , multivariate statistics , economics , engineering , social science , random forest , sociology , electrical engineering