1 |
J. P. S. Catalao, H. M. I. Pousinho, V. M. F. Mendes: "Hybrid wavelet-PSO-ANFIS approach for shortterm wind power forecasting in Portugal," Sustainable Energy. vol. 2, no. 1, pp. 50-59(2010).
|
2 |
P. Chen, H.Y. Chen, R Ye: "Chaotic wind speed series forecasting based on wavelet packet decomposition and support vector regression," International Power Electronics Conference (IPEC). pp. 256-261(2010).
|
3 |
Y.Q. Liu., J. Shi, Y.P. Yang. "Short-term wind power prediction based on wavelet transform-support vector machine and statistic characteristics analysis," Industry Application. vol. 48, no. 4, pp. 1136-1141 (2012).
DOI
|
4 |
A. U. Haque, P. A. Mandal: "Novel hybrid approach based on wavelet transform and fuzzy ARTMAP networks for predicting wind farm power production," Industry Application. vol. 49, no. 5, pp. 2253-2261 (2013).
DOI
|
5 |
P. Pinson, G. Kariniotakis. "On-line assessment of prediction risk for wind power production forecasts," Proceeding of the European Wind Energy Conference and Exhibition. pp. 16-19(2003).
|
6 |
H. Bludszuweit, N. Dominguez, A. Jose: "Statistical analysis of wind power forecast error," Power Systems. vol. 23, no. 3, pp. 983-991(2008).
DOI
|
7 |
C. X. Wang, Z. X. Lu, Y. Qiao: "Short-term wind power prediction based on nonparametric regression model," Automation of Electric Power Systems. vol. 34, no. 16, pp. 78-82(2010).
|
8 |
J. B. Sun, X. S. Wu, B. H. Zhang. "Wind power interval prediction based on nonparametric kernel density estimation," Water Resources and Power. vol. 31, no. 9, pp. 233-235(2013).
|
9 |
A. Khosravi, S. Nahavandi, D. Creighton, A. Atiya. "Lower upper bound estimation method for construction of neural network-based prediction intervals," Neural Networks, vol. 22, no. 3, pp. 337-346(2011).
DOI
|
10 |
D. Z. Huang, R. X. Gong, S. Gong. "Prediction of wind power by chaos and BP artificial neural networks approach based on Genetic Algorithm," Journal of Electrical Engineering & Technology. vol. 10, no. 1, pp. 41-46(2015)
DOI
|
11 |
Y. Song, Z.Q. Chen, Z.Z. Yuan: "New chaotic PSOBased neural network predictive control for nonlinear process," Neural Network. vol. 18, no. 2, pp. 595-601(2007).
DOI
|
12 |
E. E. Elattar: "Prediction of wind power based on evolutionary optimized local general regression neural network," IET Generation, Transmission & Distribution. vol.8, pp. 916-923(2014).
DOI
|
13 |
B. Ernst, B. Oakleaf, M. L. Ahlstrom: "Predicting the wind," Power & Energy Magazine. vol. 11, no. 2, pp. 79-89(2007).
|
14 |
F. Scarlatache, G. Grigoras: "Influence of wind power plants on power systems operation," 2014 International Conference and Exposition on Electrical and Power Engineering. pp. 1010-1014(2014).
|
15 |
A. Kusiak, H. Y. Zheng, Z. Song: "Short-Term prediction of wind farm power: a data mining approach," Energy Conversion. vol. 24, no. 1, pp. 125-136 (2009).
DOI
|
16 |
J. W. Taylor, P. E. McSharry: "Wind power density forecasting using ensemble predictions and time series models," Energy Conversion. vol. 24, no. 3, pp. 775-782(2009).
DOI
|
17 |
C. Skittides, W. G. Fruh: "Wind forecasting using principal component analysis," Renewable Energy. vol. 69, pp. 365-374(2014).
DOI
|
18 |
A. Togelou, G. Sideratos N. D. Hatziargyriou: "Wind power forecasting in the absence of historical data," Sustainable Energy. vol. 3, no. 3, pp. 416-421(2012).
|
19 |
Ramesh. Babu N, Arulmozhivarman. P. "Improving forecast accuracy of wind speed using wavelet transform and neural networks," Journal of Electrical Engineering & Technology. vol. 8, no. 3, pp. 559-564(2013)
DOI
|
20 |
D. R. Chandra, M. S. Kumari, M. Sydulu, F. Grimaccia, M. Mussetta. "Adaptive wavelet neural network based wind speed forecasting studies," Journal of Electrical Engineering & Technology. vol. 9, no. 6, pp. 1812-1821(2014)
DOI
|
21 |
J.W. Zeng, W. Qiao: "Support vector machine based short-term wind power forecasting," Power Systems Conference and Exposition (PSCE). pp. 1-8(2011).
|