-
1
-
-
78650045524
-
A review of wind power and wind speed forecasting methods with different time horizons
-
North American Power Symposium (NAPS), 2010
-
Soman S, Zareipour H, Malik O. Mandal P. A review of wind power and wind speed forecasting methods with different time horizons. North American Power Symposium (NAPS), 2010; 2010, p. 1-8.
-
(2010)
, pp. 1-8
-
-
Soman, S.1
Zareipour, H.2
Malik, O.3
Mandal, P.4
-
2
-
-
33646352206
-
Very short-term wind forecasting for Tasmanian power generation
-
Potter C.W., Negnevitsky M. Very short-term wind forecasting for Tasmanian power generation. IEEE Trans Power Syst 2006, 21(2):965-972.
-
(2006)
IEEE Trans Power Syst
, vol.21
, Issue.2
, pp. 965-972
-
-
Potter, C.W.1
Negnevitsky, M.2
-
3
-
-
67349212886
-
A comparison of the impact of quikscat and windsat wind vector products on met office analyses and forecasts
-
Candy B., English S.J., Keogh S.J. A comparison of the impact of quikscat and windsat wind vector products on met office analyses and forecasts. IEEE T Geosci Remote Sens 2009, 47(6):1632-1640.
-
(2009)
IEEE T Geosci Remote Sens
, vol.47
, Issue.6
, pp. 1632-1640
-
-
Candy, B.1
English, S.J.2
Keogh, S.J.3
-
4
-
-
70449339932
-
Wind speed prediction based on simple meteorological data using artificial neural network
-
INDIN 2009. 7th IEEE International Conference on
-
Ghanbarzadeh A, Noghrehabadi A, Behrang M, Assareh E. Wind speed prediction based on simple meteorological data using artificial neural network. In: Industrial Informatics, 2009. INDIN 2009. 7th IEEE International Conference on.; 2009. p. 664-7. doi:10.1109/INDIN.2009.5195882.
-
(2009)
Industrial Informatics, 2009
, pp. 664-667
-
-
Ghanbarzadeh, A.1
Noghrehabadi, A.2
Behrang, M.3
Assareh, E.4
-
5
-
-
0035451837
-
Using neural networks to estimate wind turbine power generation
-
Shuhui L., Wunsch D., O'Hair E., Giesselmann M. Using neural networks to estimate wind turbine power generation. IEEE Trans Energy Convers 2001, 16(3):276-282. 10.1109/60.937208.
-
(2001)
IEEE Trans Energy Convers
, vol.16
, Issue.3
, pp. 276-282
-
-
Shuhui, L.1
Wunsch, D.2
O'Hair, E.3
Giesselmann, M.4
-
7
-
-
84859036543
-
AWNN-assisted wind power forecasting using feed-forward neural network
-
Bhaskar K., Singh S. AWNN-assisted wind power forecasting using feed-forward neural network. IEEE Trans Sustain Energy 2012, 3(2):306-315.
-
(2012)
IEEE Trans Sustain Energy
, vol.3
, Issue.2
, pp. 306-315
-
-
Bhaskar, K.1
Singh, S.2
-
8
-
-
79751505649
-
Bayesian adaptive combination of short-term wind speed forecasts from neural network models
-
Li G., Shi J., Zhou J. Bayesian adaptive combination of short-term wind speed forecasts from neural network models. Renew Energy 2011, 36(1):352-359. 10.1016/j.renene.2010.06.049.
-
(2011)
Renew Energy
, vol.36
, Issue.1
, pp. 352-359
-
-
Li, G.1
Shi, J.2
Zhou, J.3
-
9
-
-
0030241740
-
Time-series models for reliability evaluation of power systems including wind energy
-
Billinton R., Chen H., Ghajar R. Time-series models for reliability evaluation of power systems including wind energy. Microelectron Reliability 1996, 36(9):1253-1261. 10.1016/0026-2714(95)00154-9.
-
(1996)
Microelectron Reliability
, vol.36
, Issue.9
, pp. 1253-1261
-
-
Billinton, R.1
Chen, H.2
Ghajar, R.3
-
10
-
-
58949103845
-
Day-ahead wind speed forecasting using f-ARIMA models
-
Kavasseri R., Seetharaman K. Day-ahead wind speed forecasting using f-ARIMA models. Renew Energy 2009, 34(5):1388-1393.
-
(2009)
Renew Energy
, vol.34
, Issue.5
, pp. 1388-1393
-
-
Kavasseri, R.1
Seetharaman, K.2
-
11
-
-
78650562310
-
ARMA based approaches for forecasting the tuple of wind speed and direction
-
Erdem E., Shi J. ARMA based approaches for forecasting the tuple of wind speed and direction. Appl Energy 2011, 88(4):1405-1414.
-
(2011)
Appl Energy
, vol.88
, Issue.4
, pp. 1405-1414
-
-
Erdem, E.1
Shi, J.2
-
12
-
-
84860255082
-
Forecasting wind speed with recurrent neural networks
-
Cao Q., Ewing B.T., Thompson M.A. Forecasting wind speed with recurrent neural networks. Eur J Oper Res 2012, 221(1):148-154.
-
(2012)
Eur J Oper Res
, vol.221
, Issue.1
, pp. 148-154
-
-
Cao, Q.1
Ewing, B.T.2
Thompson, M.A.3
-
13
-
-
54149110925
-
A new strategy for wind speed forecasting using artificial intelligent methods
-
Monfared M., Rastegar H., Kojabadi H. A new strategy for wind speed forecasting using artificial intelligent methods. Renew Energy 2009, 34(3):845-848.
-
(2009)
Renew Energy
, vol.34
, Issue.3
, pp. 845-848
-
-
Monfared, M.1
Rastegar, H.2
Kojabadi, H.3
-
14
-
-
61649090211
-
Short-term prediction of wind farm power: a data mining approach
-
Kusiak A., Zheng H., Song Z. Short-term prediction of wind farm power: a data mining approach. IEEE Trans Energy Convers 2009, 24(1):125-136. 10.1109/TEC.2008.2006552.
-
(2009)
IEEE Trans Energy Convers
, vol.24
, Issue.1
, pp. 125-136
-
-
Kusiak, A.1
Zheng, H.2
Song, Z.3
-
16
-
-
79952454042
-
Multiple architecture system for wind speed prediction
-
Bouzgou H., Benoudjit N. Multiple architecture system for wind speed prediction. Appl Energy 2011, 88(7):2463-2471.
-
(2011)
Appl Energy
, vol.88
, Issue.7
, pp. 2463-2471
-
-
Bouzgou, H.1
Benoudjit, N.2
-
17
-
-
84859416828
-
Evaluation of hybrid forecasting approaches for wind speed and power generation time series
-
Shi J., Guo J., Zheng S. Evaluation of hybrid forecasting approaches for wind speed and power generation time series. Renew Sustain Energy Rev 2012, 16(5):3471-3480. 10.1016/ j.rser.2012.02.044.
-
(2012)
Renew Sustain Energy Rev
, vol.16
, Issue.5
, pp. 3471-3480
-
-
Shi, J.1
Guo, J.2
Zheng, S.3
-
18
-
-
84919784667
-
Raw wind data preprocessing: a data-mining approach
-
Zheng L., Hu W., Min Y. Raw wind data preprocessing: a data-mining approach. IEEE Trans Sustain Energy 2015, 6(1):11-19. 10.1109/TSTE.2014.2355837.
-
(2015)
IEEE Trans Sustain Energy
, vol.6
, Issue.1
, pp. 11-19
-
-
Zheng, L.1
Hu, W.2
Min, Y.3
-
19
-
-
84908476910
-
A hybrid forecasting model based on outlier detection and fuzzy time series a case study on Hainan wind farm of China
-
Wang J., Xiong S. A hybrid forecasting model based on outlier detection and fuzzy time series a case study on Hainan wind farm of China. Energy 2014, 76(0):526-541.
-
(2014)
Energy
, vol.76
, pp. 526-541
-
-
Wang, J.1
Xiong, S.2
-
20
-
-
84911940566
-
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, 520 China
-
Wang J., Qin S., Zhou Q., Jiang H. Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, 520 China. Renew Energy 2015, 76(0):91-101.
-
(2015)
Renew Energy
, vol.76
, pp. 91-101
-
-
Wang, J.1
Qin, S.2
Zhou, Q.3
Jiang, H.4
-
21
-
-
78650838246
-
Cable-driven elastic parallel humanoid head with face tracking for autism spectrum disorder interventions
-
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
-
Su H, Dickstein-Fischer L, Harrington K, Fu Q, Lu W, Huang H, et al. Cable-driven elastic parallel humanoid head with face tracking for autism spectrum disorder interventions. In: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE; 2010. p. 467-70. http://10.1109/IEMBS.2010.5626186.
-
(2010)
, pp. 467-470
-
-
Su, H.1
Dickstein-Fischer, L.2
Harrington, K.3
Fu, Q.4
Lu, W.5
Huang, H.6
-
22
-
-
79955792667
-
Robust real-time multi-user pupil detection and tracking under various illumination and large-scale head motion
-
Yan C., Wang Y., Zhang Z. Robust real-time multi-user pupil detection and tracking under various illumination and large-scale head motion. Comput Vision Image Understand 2011, 115(8):1223-1238.
-
(2011)
Comput Vision Image Understand
, vol.115
, Issue.8
, pp. 1223-1238
-
-
Yan, C.1
Wang, Y.2
Zhang, Z.3
-
23
-
-
78651470185
-
High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter
-
Park J, Hwang W, il Kwon H, Hyeon Kim J, Hun Lee C, Anjum M, et al. High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter. In: Intelligent robots and systems (IROS), 2010 IEEE/RSJ international conference on.; 2010. p. 3778-83. doi:10.1109/IROS.2010.5650367.
-
(2010)
Intelligent robots and systems (IROS), 2010 IEEE/RSJ international conference on
, pp. 3778-3783
-
-
Park, J.1
Hwang, W.2
il Kwon, H.3
Hyeon Kim, J.4
Hun Lee, C.5
Anjum, M.6
-
24
-
-
69849087908
-
Energy forward price prediction with a hybrid adaptive model
-
CIFEr '09. IEEE symposium on
-
Nguyen H, Nabney I. Energy forward price prediction with a hybrid adaptive model. In: Computational intelligence for financial engineering, 2009. CIFEr '09. IEEE symposium on.; 2009. p. 66-71. doi:10.1109/CIFER.2009.4937504.
-
(2009)
Computational intelligence for financial engineering, 2009
, pp. 66-71
-
-
Nguyen, H.1
Nabney, I.2
-
25
-
-
49749138923
-
Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
-
Louka P., Galanis G., Siebert N., Kariniotakis G., Katsafa-dos P., Pytharoulis I., et al. Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering. J Wind Eng Ind Aerodynam 2008, 96(12):2348-2362. 10.1016/j.jweia.2008.03.013.
-
(2008)
J Wind Eng Ind Aerodynam
, vol.96
, Issue.12
, pp. 2348-2362
-
-
Louka, P.1
Galanis, G.2
Siebert, N.3
Kariniotakis, G.4
Katsafa-dos, P.5
Pytharoulis, I.6
-
26
-
-
84864827118
-
Wind speed and wind energy forecast through Kalman filtering of numerical weather prediction model output
-
Cassola F., Burlando M. Wind speed and wind energy forecast through Kalman filtering of numerical weather prediction model output. Appl Energy 2012, 99(0):154-166. 10.1016/j.apenergy.2012. 03.054.
-
(2012)
Appl Energy
, vol.99
, pp. 154-166
-
-
Cassola, F.1
Burlando, M.2
-
27
-
-
84869875436
-
Wind power prediction based on numerical and statistical models
-
Stathopoulos C., Kaperoni A., Galanis G., Kallos G. Wind power prediction based on numerical and statistical models. J Wind Eng Ind Aerodynam 2013, 112(0):25-38.
-
(2013)
J Wind Eng Ind Aerodynam
, vol.112
, pp. 25-38
-
-
Stathopoulos, C.1
Kaperoni, A.2
Galanis, G.3
Kallos, G.4
-
28
-
-
84876303697
-
Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting
-
Poncela M., Poncela P., Pern J.R. Automatic tuning of Kalman filters by maximum likelihood methods for wind energy forecasting. Appl Energy 2013, 108(C):349-362.
-
(2013)
Appl Energy
, vol.108
, pp. 349-362
-
-
Poncela, M.1
Poncela, P.2
Pern, J.R.3
-
29
-
-
84862213628
-
Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction
-
Liu H., Qi Tian H., Fei Li Y. Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction. Appl Energy 2012, 98(0):415-424.
-
(2012)
Appl Energy
, vol.98
, pp. 415-424
-
-
Liu, H.1
Qi Tian, H.2
Fei Li, Y.3
-
30
-
-
84883355288
-
Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach
-
Chen K., Yu J. Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach. Appl Energy 2014, 113(0):690-705.
-
(2014)
Appl Energy
, vol.113
, pp. 690-705
-
-
Chen, K.1
Yu, J.2
-
31
-
-
51349118274
-
A Kalman filter for robust outlier detection
-
IROS 2007. IEEE/RSJ international conference on
-
Ting JA, Theodorou E, Schaal S. A Kalman filter for robust outlier detection. In: Intelligent robots and systems, 2007. IROS 2007. IEEE/RSJ international conference on.; 2007. p. 1514-9. http://10.1109/IROS.2007.4399158.
-
(2007)
Intelligent robots and systems, 2007
, pp. 1514-1519
-
-
Ting, J.A.1
Theodorou, E.2
Schaal, S.3
-
33
-
-
21844510440
-
Robust recursive estimation in the presence of heavy-tailed observation noise
-
Schick I.C., Mitter S.K. Robust recursive estimation in the presence of heavy-tailed observation noise. Ann Statist 1994, 22(2):1045-1080.
-
(1994)
Ann Statist
, vol.22
, Issue.2
, pp. 1045-1080
-
-
Schick, I.C.1
Mitter, S.K.2
-
34
-
-
0036903559
-
Wind models for simulation of power fluctuations from wind farms
-
Sørensen P., Hansen A.D., Rosas P.A.C. Wind models for simulation of power fluctuations from wind farms. J Wind Eng Ind Aerodynam 2002, 90(12-15):1381-1402.
-
(2002)
J Wind Eng Ind Aerodynam
, vol.90
, Issue.12-15
, pp. 1381-1402
-
-
Sørensen, P.1
Hansen, A.D.2
Rosas, P.A.C.3
-
40
-
-
84947791529
-
-
Wiley Series in Probability and Statistics, New York
-
Huber P. Robust statistics 2009, Wiley Series in Probability and Statistics, New York. 2nd ed.
-
(2009)
Robust statistics
-
-
Huber, P.1
-
41
-
-
0003793619
-
Robust Kalman filter 580 and its application in time series analysis
-
Cipra T., Romera R. Robust Kalman filter 580 and its application in time series analysis. Kybernetika 1991, 27(6):481-494.
-
(1991)
Kybernetika
, vol.27
, Issue.6
, pp. 481-494
-
-
Cipra, T.1
Romera, R.2
-
45
-
-
13444287831
-
ROBPCA: a new approach to robust principal component analysis
-
Hubert M., Rousseeuw P., Vanden ROBPCA: a new approach to robust principal component analysis. Technometrics 2005, 47:64-79.
-
(2005)
Technometrics
, vol.47
, pp. 64-79
-
-
Hubert, M.1
Rousseeuw, P.2
Vanden3
-
46
-
-
0035310763
-
Exploring process data
-
Pearson R. Exploring process data. J Process Control 2001, 11(2):179-194. 10.1016/S0959-1524(00)00046-9.
-
(2001)
J Process Control
, vol.11
, Issue.2
, pp. 179-194
-
-
Pearson, R.1
-
47
-
-
85131900741
-
A new reference for wind power forecasting
-
Nielsen T.S., Joensen A., Madsen H., Landberg L., Giebel G. A new reference for wind power forecasting. Wind Energy 1998, 1(1):29-34.
-
(1998)
Wind Energy
, vol.1
, Issue.1
, pp. 29-34
-
-
Nielsen, T.S.1
Joensen, A.2
Madsen, H.3
Landberg, L.4
Giebel, G.5
|