1 |
Zeng Jianwu and Wei Qiao, "Support vector machine-based short-term wind power forecasting," PSCE IEEE/PES, pp. 1-8, 2011.
|
2 |
Wu Wenzu, Chen K, Qiao Y, and Lu Z, "Probabilistic short-term wind power forecasting based on deep neural networks," PMAPS, 2016 International Conference on. IEEE, pp. 1-8, Dec.2016.
|
3 |
Chen Niya, Qian Z, Nabney I T and Meng X, "Wind power forecasts using Gaussian processes and numerical weather prediction," IEEE Transactions on Power Systems, vol. 29, no 2, 656-665, Mar. 2014.
DOI
|
4 |
Chen Niya, Qian Z, Nabney I T and Meng X, "Short-Term Wind Power Forecasting Using Gaussian Processes," In IJCAI, 2790-2796, Aug. 2013.
|
5 |
Mao Yang and Jian Ma, "Data completing of missing wind power data based on adaptive BP neural network," PMAPS, 2016 International Conference on. IEEE, pp. 1-6, Dec.2016.
|
6 |
Chang Wen-Yeau, "Short-term wind power forecasting using the enhanced particle swarm optimization based hybrid method," Energies, vol. 6, no. 9, pp. 4879-4896, Sep. 2013.
DOI
|
7 |
Reliability; Vargas Luis, Gonzalo Paredes and Gonzalo Bustos, "Data mining techniques for very short term prediction of wind power," In Bulk Power System Dynamics and Control (iREP)-VIII (iREP) IEEE, pp. 1-7, Aug. 2010.
|
8 |
Pai Ping-Feng, "System reliability forecasting by support vector machines with genetic algorithms" Mathematical and Computer Modelling, vol. 43, no. 3, pp. 262-274, 2006.
DOI
|
9 |
Chang Wen-Yeau, "A literature review of wind forecasting methods," Journal of Power and Energy Engineering, pp. 161-168, Feb.2014.
|
10 |
Aggarwal S K and Gupta M, "Wind power forecasting: A review of statistical models-wind power forecasting," International Journal of Energy Science, vol. 3, no. 1, Feb. 2013.
|
11 |
Pai Ping-Feng, "System reliability forecasting by support vector machines with genetic algorithms," Mathematical and Computer Modelling, vol. 43, no. 3, pp. 262-274, 2006.
DOI
|
12 |
Zhang Jianyong and Wang Cong, "Application of arma model in ultra-short term prediction of wind power," CSA, 2013 International Conference on. IEEE, pp. 361-364, Dec. 2013.
|
13 |
Chan Ngai Hang, "Time series: applications to finance with R and S-Plus," John Wiley & Sons, Second Edition, 23-37, (2010).
|
14 |
Rajagopalan S and Santoso S, "Wind power forecasting and error analysis using the autoregressive moving average modeling," Power & Energy Society General Meeting, 2009. PES'09. IEEE, pp. 1-6, Jul. 2009.
|
15 |
Wang Jidong, Sun Jiawen and Zhang Huiying, "Short-term wind power forecasting based on support vector machine," PESA, 2013 5th International Conference on. IEEE, pp. 1-5, Dec.2013.
|
16 |
Pai Ping-Feng, Wei-Chiang Hong and Yu-Shen Lee, "Determining Parameters of Support Vector Machines by Genetic Algorithms-Applications to Reliability Prediction," International Journal of Operations Research, vol. 2, no. 1, pp. 1-7, 2005.
|
17 |
Areekul Ph, Senjyu T, Toyama H and Yona A, "A Hybrid Neural Network Model for Short-Term Price Forecasting in Deregulated Market," IEEE Trans. Power Syst, vol. 25, no. 1, pp. 524-530, Feb. 2010.
DOI
|
18 |
Zhang G Peter, "Time series forecasting using a hybrid ARIMA and neural network model," Neurocomputing 50, 159-175, 2003.
DOI
|
19 |
Milligan M, Schwartz M, and Wan Y, "Statistical wind power forecasting models: Results for US wind farms," National Renewable Energy Laboratory, Golden, CO, 1-1-14, May, 2003.
|
20 |
Gargeya M Anuj and Sai Praneeth Pabba, "Economic load dispatch using genetic algorithm and pattern search methods," IJAREEIE, vol. 2, no. 4, pp. 1203-1212, Apr. 2013.
|
21 |
Tao Yubo and Hongkun Chen, "A hybrid wind power prediction method," PESGM IEEE, pp. 1-5, Nov. 2016.
|