Putting Big Data analytics to work: Feature selection for forecasting electricity prices using the LASSO and random forests.
Nicole LudwigStefan FeuerriegelDirk NeumannPublished in: J. Decis. Syst. (2015)
Keyphrases
- random forests
- feature selection
- electricity markets
- big data analytics
- market clearing
- electricity consumption
- big data
- random forest
- electric power
- feature set
- market participants
- decision trees
- short term
- load forecasting
- forecast models
- machine learning algorithms
- ensemble methods
- social media
- logistic regression
- text categorization
- machine learning
- decision tree ensembles
- support vector
- text classification
- multi class
- model selection
- support vector machine
- classification accuracy
- feature space
- multi task
- feature extraction
- randomized trees
- tree ensembles
- feature subset
- naive bayes
- cloud computing
- knn
- knowledge discovery
- cross validation