Short-term wind speed forecasting by combination of masking signal-based empirical mode decomposition and extreme learning machine.
Jihui QiuShaoping ShenGuangyu XuPublished in: ICCSE (2016)
Keyphrases
- short term
- wind speed
- empirical mode decomposition
- extreme learning machine
- long term
- wind power
- non stationary
- hilbert huang transform
- wind turbine
- forecasting model
- short term prediction
- feed forward neural networks
- support vector regression
- load forecasting
- intrinsic mode functions
- neural network
- wavelet decomposition
- single layer
- feature extraction
- arima model
- support vector machine
- support vector machine svm
- pattern recognition
- power generation
- genetic algorithm