An Improved ELM Model Based on CEEMD-LZC and Manifold Learning for Short-Term Wind Power Prediction.
Chao ZhangMing DingWeisheng WangRui BiLeying MiaoHaibiao YuLian LiuPublished in: IEEE Access (2019)
Keyphrases
- short term
- manifold learning
- wind power
- short term prediction
- long term
- wind speed
- load forecasting
- power generation
- forecasting model
- low dimensional
- semi supervised
- high dimensional
- dimensionality reduction
- arima model
- dimension reduction
- prediction model
- feature extraction
- high dimensional data
- electricity markets
- wind turbine
- sparse representation
- power system
- linear combination
- data points
- expert systems