A short-term wind power prediction approach based on ensemble empirical mode decomposition and improved long short-term memory.
Tianyue JiangYutong LiuPublished in: Comput. Electr. Eng. (2023)
Keyphrases
- short term
- wind power
- short term prediction
- empirical mode decomposition
- stock market prediction
- long term
- wind speed
- power generation
- load forecasting
- non stationary
- forecasting model
- neural network
- recurrent neural networks
- ensemble methods
- improved algorithm
- wind turbine
- wavelet decomposition
- training set
- decision making
- learning algorithm
- arima model
- prediction model
- power plant
- electricity markets
- remote sensing
- pattern recognition
- feature selection
- genetic algorithm
- machine learning