Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting

2019 ◽  
Vol 10 (2) ◽  
pp. 670-681 ◽  
Author(s):  
Mahdi Khodayar ◽  
Jianhui Wang
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Deep Neural Network ◽  
Short Term ◽  
Wind Speed Forecasting ◽  
Temporal Graph ◽  
Spatio Temporal

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

2020 ◽  
Vol 213 ◽  
pp. 112869 ◽  
Author(s):  
Sinvaldo Rodrigues Moreno ◽  
Ramon Gomes da Silva ◽  
Viviana Cocco Mariani ◽  
Leandro dos Santos Coelho
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Wind Speed Forecasting ◽  
Decomposition Model ◽  
Multi Stage ◽  
Long Short Term Memory

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning

2015 ◽  
pp. 9-16 ◽  
Author(s):  
Annalisa Appice ◽  
Sonja Pravilovic ◽  
Antonietta Lanza ◽  
Donato Malerba
Keyword(s):  
Wind Speed ◽  
Lazy Learning ◽  
Short Term ◽  
Wind Speed Forecasting ◽  
Spatio Temporal

Study on Wind Speed Forecasting Based on STC and BP Neural Network

2013 ◽  
Vol 724-725 ◽  
pp. 623-629
Author(s):  
Xing Jie Liu ◽  
Wen Shu Zheng ◽  
Tian Yun Cen
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Bp Neural Network ◽  
Prediction Accuracy ◽  
Wind Farm ◽  
Target Prediction ◽  
Temporal Correlation ◽  
Economic Security ◽  
Wind Speed Forecasting ◽  
Spatio Temporal

Accurate wind speed forecasting of wind farm is of great significance in economic security and stability of the grid. In order to improve the prediction accuracy, the paper first proposed a spatio-temporal correlation predictor method. Based on physical characteristics of wind speed evolution, the method looked for the wind speed and direction information at sites close to the target prediction site, and established STCP model to forecast. And then we established the BP neural network to finish multi-step forecast with wind speed time series of target forecast site .Last, two methods were combined to form STCP-BP method. Simulation tests are conducted with operation data from certain wind farm group in China and results show that STCP-BP method can effectively improve the prediction accuracy compared with BP model.

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