Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines.
Lingxing KongKailong LiuDeyi FuBoyong LiuJingkai MaHuini SunShuang BaiPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- wind power
- wind turbine
- wind speed
- renewable energy
- short term prediction
- wind farm
- wind energy
- short term
- power generation
- neuro fuzzy
- power plant
- electricity markets
- forecasting model
- power system
- prediction model
- regression model
- long term
- fault diagnosis
- model selection
- power grids
- load forecasting
- neural network
- support vector regression
- multi agent
- evolutionary computation
- support vector