A Multivariate Wind Power Prediction Model Based on Wavelet Transformation Noise Reduction

2018 ◽  
Author(s):  
Xinyue Ji ◽  
Mengyao Hu ◽  
Xiaoyu Zhang
Keyword(s):  
Prediction Model ◽  
Noise Reduction ◽  
Wind Power ◽  
Wavelet Transformation ◽  
Power Prediction ◽  
Model Based ◽  
Wind Power Prediction

scholarly journals Short-term Wind Power Prediction Model Based on Encoder-Decoder LSTM

2018 ◽  
Vol 186 ◽  
pp. 012020
Author(s):  
Kuan Lu ◽  
Wen Xue Sun ◽  
Xin Wang ◽  
Xiang Rong Meng ◽  
Yong Zhai ◽  
...  
Keyword(s):  
Prediction Model ◽  
Wind Power ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Wind Power Prediction

scholarly journals Ultra-short-term Wind Power Prediction Model Based on VMD Decomposition and LSTM

2021 ◽  
Vol 838 (1) ◽  
pp. 012002
Author(s):  
Xingdou Liu ◽  
Li Zhang ◽  
Zhirui Zhang ◽  
Tong Zhao ◽  
Liang Zou
Keyword(s):  
Prediction Model ◽  
Wind Power ◽  
Power Prediction ◽  
Short Term ◽  
Model Based ◽  
Wind Power Prediction

Algorithm and Realization of Wind Power Prediction System

2013 ◽  
Vol 748 ◽  
pp. 439-443
Author(s):  
L. Zhou ◽  
E.W. He ◽  
J.C. Wang ◽  
D.H. Chen ◽  
Q.Z. Chen
Keyword(s):  
Time Series ◽  
Prediction Model ◽  
Wind Power ◽  
Wind Farm ◽  
Stable Operation ◽  
Prediction System ◽  
Power Prediction ◽  
Model Based ◽  
Term Prediction ◽  
Wind Power Prediction

The application of wind power prediction system (WPPS) contributes to security economic dispatching of power grid and stable operation of wind farm. This paper established short-term prediction model based on BP neural network and ultrashort-term prediction model based on improved time-series algorithm according to Xichang Wind Farm Phase I Project. A new probability model using two consecutive power points before prediction time was built to improve the traditional time-series algorithm. The system framework was designed. C# Language and SQL Server 2008 were taken to develop the system on the Microsoft .net platform. The WPPS uses distributed architecture, realizing seamless connection with the energy management system (EMS) of Xichang dispatching department.

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