Hybrid model with secondary decomposition, randomforest algorithm, clustering analysis and long short memory network principal computing for short-term wind power forecasting on multiple scales

Energy ◽  
2021 ◽  
Vol 221 ◽  
pp. 119848
Author(s):  
zexian Sun ◽  
mingyu Zhao ◽  
yan Dong ◽  
xin Cao ◽  
Hexu Sun
Keyword(s):  
Wind Power ◽  
Hybrid Model ◽  
Clustering Analysis ◽  
Multiple Scales ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Memory Network ◽  
Short Memory ◽  
Power Forecasting

scholarly journals A Hybrid Model for Short-Term Wind Power Forecasting Based on MIV, Tversky Model and GA-BP Neural Network

2016 ◽  
Vol 70 ◽  
pp. 10002 ◽  
Author(s):  
Jie Zeng ◽  
Chi Zhang ◽  
Ning Xie ◽  
Ping Yang ◽  
Chenyu Xu ◽  
...  
Keyword(s):  
Neural Network ◽  
Wind Power ◽  
Hybrid Model ◽  
Bp Neural Network ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Power Forecasting

A novel hybrid model for short-term wind power forecasting

2019 ◽  
Vol 80 ◽  
pp. 93-106 ◽  
Author(s):  
Pei Du ◽  
Jianzhou Wang ◽  
Wendong Yang ◽  
Tong Niu
Keyword(s):  
Wind Power ◽  
Hybrid Model ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Power Forecasting
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