Forecasting the Short-Term Energy Consumption Using Random Forests and Gradient Boosting.
Cristina Bianca PopViorica Rozina ChifuCorina CordeaEmil Stefan ChifuOctav BarsanPublished in: CoRR (2022)
Keyphrases
- short term
- random forests
- energy consumption
- base learners
- long term
- random forest
- wireless sensor networks
- decision trees
- ensemble methods
- forecasting model
- sensor networks
- logistic regression
- machine learning algorithms
- load forecasting
- regression problems
- loss function
- naive bayes
- artificial neural networks
- neural network
- fault diagnosis
- generalization ability
- model selection