Very short-term wind power forecasting with neural networks and adaptive Bayesian learning

2011 ◽  
Vol 36 (3) ◽  
pp. 1118-1124 ◽  
Author(s):  
Ruddy Blonbou
Keyword(s):  
Neural Networks ◽  
Wind Power ◽  
Bayesian Learning ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Power Forecasting

scholarly journals Probabilistic Short-Term Wind Power Forecasting Using Sparse Bayesian Learning and NWP

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Kaikai Pan ◽  
Zheng Qian ◽  
Niya Chen
Keyword(s):  
Wind Power ◽  
Bayesian Learning ◽  
Weather Prediction ◽  
Parameters Optimization ◽  
Gaussian Kernel ◽  
Sparse Bayesian Learning ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Proposed Model ◽  
Power Forecasting

Probabilistic short-term wind power forecasting is greatly significant for the operation of wind power scheduling and the reliability of power system. In this paper, an approach based on Sparse Bayesian Learning (SBL) and Numerical Weather Prediction (NWP) for probabilistic wind power forecasting in the horizon of 1–24 hours was investigated. In the modeling process, first, the wind speed data from NWP results was corrected, and then the SBL was used to build a relationship between the combined data and the power generation to produce probabilistic power forecasts. Furthermore, in each model, the application of SBL was improved by using modified-Gaussian kernel function and parameters optimization through Particle Swarm Optimization (PSO). To validate the proposed approach, two real-world datasets were used for construction and testing. For deterministic evaluation, the simulation results showed that the proposed model achieves a greater improvement in forecasting accuracy compared with other wind power forecast models. For probabilistic evaluation, the results of indicators also demonstrate that the proposed model has an outstanding performance.

Recalibration of recurrent neural networks for short-term wind power forecasting

2021 ◽  
Vol 190 ◽  
pp. 106639 ◽  
Author(s):  
Jean-François Toubeau ◽  
Pierre-David Dapoz ◽  
Jérémie Bottieau ◽  
Aurélien Wautier ◽  
Zacharie De Grève ◽  
...  
Keyword(s):  
Neural Networks ◽  
Wind Power ◽  
Recurrent Neural Networks ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Power Forecasting

scholarly journals Short-term wind power forecasting in Portugal by neural networks and wavelet transform

2011 ◽  
Vol 36 (4) ◽  
pp. 1245-1251 ◽  
Author(s):  
J.P.S. Catalão ◽  
H.M.I. Pousinho ◽  
V.M.F. Mendes
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Wind Power ◽  
Short Term ◽  
Wind Power Forecasting ◽  
Power Forecasting
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