A parsimonious ensemble with optimal deep learning and secondary decomposition for short-term wind speed forecasting.
Wenxin XiaJinxing ChePublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- short term
- wind speed
- deep learning
- long term
- wind power
- short term prediction
- meteorological data
- stock market
- forecasting model
- unsupervised learning
- medium term
- load forecasting
- short term and long term
- long term memory
- machine learning
- wind turbine
- power generation
- neural network
- chaotic time series
- arima model
- data mining
- object recognition
- mental models
- training set