A hybrid forecasting model for very short-term wind speed prediction based on secondary decomposition and deep learning algorithms.
Keke MaWenyu ZhangZhenhai GuoJing ZhaoWenzhi QiuPublished in: Earth Sci. Informatics (2023)
Keyphrases
- short term
- forecasting model
- wind speed
- meteorological data
- long term
- short term prediction
- wind power
- electric load forecasting
- forecasting accuracy
- learning algorithm
- load forecasting
- relative humidity
- short term and long term
- arima model
- prediction model
- stock market
- machine learning
- training data
- wind turbine
- power generation
- feature space
- bp neural network
- pattern recognition
- support vector regression
- neural network