A hybrid model for multi-step wind speed forecasting based on secondary decomposition, deep learning, and error correction algorithms.
Haiyan XuYuqing ChangYong ZhaoFuli WangPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- error correction
- hybrid model
- multi step
- deep learning
- wind speed
- support vector regression
- hybrid models
- arima model
- artificial neural networks
- short term
- learning algorithm
- forecasting accuracy
- long term
- unsupervised learning
- data mining
- support vector machine svm
- principal component analysis
- information extraction
- active learning
- expert systems
- genetic algorithm