scholarly journals Nonlinear Modeling of Wind Power Output Using Box-Cox Transformation and Its Application to Very Short-term Prediction

2016 ◽  
Vol 52 (5) ◽  
pp. 299-301 ◽  
Author(s):  
Kengo URATA ◽  
Masaki INOUE ◽  
Dai MURAYAMA ◽  
Shuichi ADACHI
Keyword(s):  
Wind Power ◽  
Power Output ◽  
Nonlinear Modeling ◽  
Short Term ◽  
Term Prediction ◽  
Short Term Prediction ◽  
Box Cox Transformation

Short-Term Prediction of Wind Power Output Based on Markov Chain

2013 ◽  
Vol 448-453 ◽  
pp. 1789-1795
Author(s):  
De Xin Li ◽  
Xiang Yu Lv ◽  
Zhi Hui Song
Keyword(s):  
Markov Chain ◽  
Wind Power ◽  
Power Output ◽  
Wind Farm ◽  
Markov Chain Model ◽  
Forecast Accuracy ◽  
Chain Model ◽  
Short Term ◽  
Term Prediction ◽  
Short Term Prediction

Wind power short-term predicting technology has a great significance in process of wind power decision-making. Recent years, the technology had been studied extensively in industry. Markov chain model has strong adaptability, forecast accuracy higher and other else advantages, which is suitable for wind power short-term prediction. This paper have set up one step Markov prediction model and based on which predicting short-term wind power output, and taken the historical power data of an actual wind farm in Jilin Province as an example to simulate and analyze. The paper also have proposed and used RMSE, MXPE, MAPE error analysis indicators to analyze simulation results of different status spaces. The results showed that when the status space is 60 the prediction accuracy of the method is best.

Short-term prediction of wind power using EMD and chaotic theory

2012 ◽  
Vol 17 (2) ◽  
pp. 1036-1042 ◽  
Author(s):  
Xueli An ◽  
Dongxiang Jiang ◽  
Minghao Zhao ◽  
Chao Liu
Keyword(s):  
Wind Power ◽  
Short Term ◽  
Term Prediction ◽  
Short Term Prediction ◽  
Chaotic Theory
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