Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation.
Bowen ZhouXiangjin MaYanhong LuoDongsheng YangPublished in: IEEE Access (2019)
Keyphrases
- kernel density estimation
- wind power
- mean shift
- power grids
- wind speed
- kernel density estimator
- density estimation
- probability density function
- short term prediction
- object segmentation
- density function
- neuro fuzzy
- probability density
- higher dimensional
- short term
- recurrent neural networks
- power generation
- prediction model
- neural network
- power plant
- wind turbine
- bayesian framework
- power system
- decision support system
- long term