Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.
Paulo S. G. de Mattos NetoJoão F. L. de OliveiraPriscilla BassettoHugo Valadares SiqueiraLuciano BarbosaEmilly Pereira AlvesManoel Henrique da Nobrega MarinhoGuilherme Ferretti RissiFu LiPublished in: Sensors (2021)
Keyphrases
- energy consumption
- extreme learning machine
- support vector regression
- total energy
- electricity consumption
- neural network
- energy efficiency
- wireless sensor networks
- feed forward neural networks
- energy saving
- energy efficient
- sensor networks
- feedforward neural networks
- ensemble learning
- gaussian processes
- ensemble methods
- hidden nodes
- support vector
- kernel function
- single layer
- routing protocol
- regression model
- support vector machine
- training data
- multiple classifiers
- classifier ensemble
- smart grid
- back propagation
- support vector machine svm
- base classifiers
- routing algorithm
- data center
- activation function
- variable selection
- training set
- learning algorithm