scholarly journals Spatio-temporal Markov chain model for very-short-term wind power forecasting

2019 ◽  
Vol 2019 (18) ◽  
pp. 5018-5022 ◽  
Author(s):  
Yongning Zhao ◽  
Lin Ye ◽  
Zheng Wang ◽  
Linlin Wu ◽  
Bingxu Zhai ◽  
...  
Keyword(s):  
Markov Chain ◽  
Wind Power ◽  
Markov Chain Model ◽  
Chain Model ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Spatio Temporal ◽  
Power Forecasting

scholarly journals Markov chain modeling for very-short-term wind power forecasting

2015 ◽  
Vol 122 ◽  
pp. 152-158 ◽  
Author(s):  
A. Carpinone ◽  
M. Giorgio ◽  
R. Langella ◽  
A. Testa
Keyword(s):  
Markov Chain ◽  
Wind Power ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Markov Chain Modeling ◽  
Power Forecasting

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.

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