Feature Selection with a Grouping Genetic Algorithm - Extreme Learning Machine Approach for Wind Power Prediction.
Laura Cornejo-BuenoCarlos Camacho-GómezAdrián Aybar-RuízLuis PrietoSancho Salcedo-SanzPublished in: CAEPIA (2016)
Keyphrases
- extreme learning machine
- genetic algorithm
- feature selection
- wind power
- support vector regression
- feedforward neural networks
- neural network
- wind speed
- feed forward neural networks
- power system
- support vector
- short term
- gaussian processes
- hidden nodes
- variable selection
- power generation
- prediction model
- single layer
- feature set
- radial basis function neural network
- electricity markets
- activation function
- artificial neural networks
- load forecasting
- artificial intelligence
- dimension reduction
- feature extraction
- fitness function
- multi layer perceptron
- forecasting model
- pattern recognition
- back propagation
- neuro fuzzy