Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.
Matheus Henrique Dal Molin RibeiroRamon Gomes da SilvaSinvaldo Rodrigues MorenoCristiane CantonJosé Henrique Kleinübing LarcherStéfano Frizzo StefenonViviana Cocco MarianiLeandro dos Santos CoelhoPublished in: Appl. Intell. (2024)
Keyphrases
- multi objective optimization
- wind power
- extreme learning machine
- support vector regression
- forecasting model
- wind speed
- multi objective
- evolutionary algorithm
- short term
- power generation
- neuro fuzzy
- feed forward neural networks
- feedforward neural networks
- power plant
- wind turbine
- electricity markets
- ensemble methods
- genetic algorithm
- hidden nodes
- power system
- neural network
- differential evolution
- support vector
- ensemble learning
- decision trees
- variable selection
- long term
- gaussian processes
- support vector machine svm
- regression model
- machine learning
- support vector machine
- load forecasting
- back propagation
- activation function
- particle swarm optimization
- optimization algorithm
- training set
- kernel function
- simulated annealing
- learning algorithm
- evolutionary computation