Supervised electricity tariff prediction using random forest validated through user comfort and constraint for a home energy management scheme.
Ganesh Kumar ChellamaniM. Firdouse Ali KhanPremanand Venkatesh ChandramaniPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- random forest
- energy management
- smart home
- random forests
- decision trees
- prediction accuracy
- ensemble methods
- ensemble classifier
- feature set
- power consumption
- power saving
- feature selection
- supervised learning
- unsupervised learning
- energy saving
- base classifiers
- context aware
- semi supervised
- learning algorithm
- machine learning
- classification accuracy
- active learning
- mobile devices
- artificial neural networks
- data streams
- computer vision
- electric vehicles
- genetic algorithm