-
1
-
-
67349211771
-
Forecasting the wind generation using a two-stage network based on meteo-rological information
-
Taylor JW, McSharry PE, Yokyama R et al (2009) Forecasting the wind generation using a two-stage network based on meteo-rological information. IEEE Trans Energy Convers 24:474–482
-
(2009)
IEEE Trans Energy Convers
, vol.24
, pp. 474-482
-
-
Taylor, J.W.1
McSharry, P.E.2
Yokyama, R.3
-
2
-
-
76849086905
-
Probabilistic load flow with correlated wind power injections
-
Usaola J (2010) Probabilistic load flow with correlated wind power injections. Electr Power Syst Res 80:528–536
-
(2010)
Electr Power Syst Res
, vol.80
, pp. 528-536
-
-
Usaola, J.1
-
3
-
-
38349108557
-
Analysis of wind power gener-ation and prediction using ANN: A case study
-
Mabel MC, Fernandez E (2008) Analysis of wind power gener-ation and prediction using ANN: a case study. Renew Energy 33:986–992
-
(2008)
Renew Energy
, vol.33
, pp. 986-992
-
-
Mabel, M.C.1
Fernandez, E.2
-
4
-
-
51849142610
-
Short term wind speed forecasting in La Venta, Oaxaca, Me´xico, using artificial neural networks
-
Cadenas E, Rivera W (2009) Short term wind speed forecasting in La Venta, Oaxaca, Me´xico, using artificial neural networks. Renew Energy 34:274–278
-
(2009)
Renew Energy
, vol.34
, pp. 274-278
-
-
Cadenas, E.1
Rivera, W.2
-
5
-
-
60949099322
-
Comparison of two new short-term wind-power fore-casting systems
-
Ramirez-Rosado IJ, Fernandez-Jimenez LA, Monteiro Cet al (2009) Comparison of two new short-term wind-power fore-casting systems. Renew Energy 34:1848–1854
-
(2009)
Renew Energy
, vol.34
, pp. 1848-1854
-
-
Ramirez-Rosado, I.J.1
Fernandez-Jimenez, L.A.2
Al, M.C.3
-
6
-
-
78649450621
-
Short-term wind power forecasting in Portugal by neural networks and wavelet transform
-
Catala˜o JPS, Pousinho HMI, Mendes VMF (2011) Short-term wind power forecasting in Portugal by neural networks and wavelet transform. Renew Energy 36:1245–1251
-
(2011)
Renew Energy
, vol.36
, pp. 1245-1251
-
-
Jps, C.1
Pousinho, H.2
Mendes, V.3
-
7
-
-
77958124770
-
Piecewise support vector machine model for short-term wind-power prediction
-
Liu YQ, Shi J, Yang YP et al (2009) Piecewise support vector machine model for short-term wind-power prediction. Int J Green Energy 6:479–489
-
(2009)
Int J Green Energy
, vol.6
, pp. 479-489
-
-
Liu, Y.Q.1
Shi, J.2
Yang, Y.P.3
-
8
-
-
0442296729
-
Support vector machines for wind speed prediction
-
Mohandes MA, Halawani TO, Rehman S et al (2004) Support vector machines for wind speed prediction. Renew Energy 29: 939–947
-
(2004)
Renew Energy
, vol.29
, pp. 939-947
-
-
Mohandes, M.A.1
Halawani, T.O.2
Rehman, S.3
-
9
-
-
79952454042
-
Multiple architecture system for wind speed prediction
-
Bouzgou H, Benoudjit N (2011) Multiple architecture system for wind speed prediction. Appl Energy 88:2463–2471
-
(2011)
Appl Energy
, vol.88
, pp. 2463-2471
-
-
Bouzgou, H.1
Benoudjit, N.2
-
10
-
-
80052530027
-
Short-term wind power forecasting using ridgelet neural network
-
Amjady N, Keynia F, Zareipour H (2011) Short-term wind power forecasting using ridgelet neural network. Electr Power Syst Res 81:2099–2107
-
(2011)
Electr Power Syst Res
, vol.81
, pp. 2099-2107
-
-
Amjady, N.1
Keynia, F.2
Zareipour, H.3
-
11
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
Tipping ME (2001) Sparse Bayesian learning and the relevance vector machine. J Mach Learn Res 1:211–244
-
(2001)
J Mach Learn Res
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
12
-
-
21244456503
-
Comparison of the support vector machine and relevant vector machine in regression and classifi-cation problems
-
Kunming, China, 6–9 Dec 2004
-
Yu WM, Du TH, Lim K (2004) Comparison of the support vector machine and relevant vector machine in regression and classifi-cation problems. In: 8th International conference on control, automation, robotics and vision, vol 2. Kunming, China, 6–9 Dec 2004, pp 1309–1314
-
(2004)
8Th International Conference on Control, Automation, Robotics and Vision, Vol 2
, pp. 1309-1314
-
-
Yu, W.M.1
Du, T.H.2
Lim, K.3
-
13
-
-
18244383805
-
Relevance vector machine and support vector machine classifier analysis of scan-ning laser polarimetry retinal nerve fiber layer measurements
-
Bowd C, Medeiros FA, Zhang ZB et al (2005) Relevance vector machine and support vector machine classifier analysis of scan-ning laser polarimetry retinal nerve fiber layer measurements. Invest Ophthalmol Vis Sci 46:1322–1329
-
(2005)
Invest Ophthalmol Vis Sci
, vol.46
, pp. 1322-1329
-
-
Bowd, C.1
Medeiros, F.A.2
Zhang, Z.B.3
-
14
-
-
58749101018
-
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
-
Widodo A, Kim EY, Son JD et al (2009) Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Syst Appl 36:7252–7261
-
(2009)
Expert Syst Appl
, vol.36
, pp. 7252-7261
-
-
Widodo, A.1
Kim, E.Y.2
Son, J.D.3
-
15
-
-
57649149024
-
Regression based on sparse Bayesian learning and the applications in electric systems
-
Duan Q, Zhao JG, Niu L et al (2008) Regression based on sparse Bayesian learning and the applications in electric systems. In: 4th International conference on natural computing, vol 1. Jinan, China, 18–20 Oct 2008, pp 106–110
-
(2008)
4Th International Conference on Natural Computing, Vol 1. Jinan, China, 18–20 Oct
, vol.2008
, pp. 106-110
-
-
Duan, Q.1
Zhao, J.G.2
Niu, L.3
-
16
-
-
77956366904
-
Relevance vector machine based on particle swarm optimization of compounding kernels in electricity load forecasting
-
Duan Q, Zhao JG, Ma Y (2010) Relevance vector machine based on particle swarm optimization of compounding kernels in electricity load forecasting. Electr Mach Control 14:34–38
-
(2010)
Electr Mach Control
, vol.14
, pp. 34-38
-
-
Duan, Q.1
Zhao, J.G.2
Ma, Y.3
-
17
-
-
77949658813
-
Application of rel-evance vector machine and logistic regression for machine deg-radation assessment
-
Caesarendra W, Widodo A, Yang BS (2010) Application of rel-evance vector machine and logistic regression for machine deg-radation assessment. Mech Syst Signal Proc 24:1161–1171
-
(2010)
Mech Syst Signal Proc
, vol.24
, pp. 1161-1171
-
-
Caesarendra, W.1
Widodo, A.2
Yang, B.S.3
-
18
-
-
77949609678
-
Software reliability prediction model based on relevance vector machine
-
Shanghai, China, 20–22 Nov 2009
-
Lou JG, Jiang JH, Shuai CY et al (2009) Software reliability prediction model based on relevance vector machine. In: Intel-ligent computing and intelligent systems, ICIS 2009, IEEE international conference, vol 1. Shanghai, China, 20–22 Nov 2009, pp 229–233
-
(2009)
Intel-Ligent Computing and Intelligent Systems, ICIS 2009, IEEE International Conference, Vol 1
, pp. 229-233
-
-
Lou, J.G.1
Jiang, J.H.2
Shuai, C.Y.3
-
19
-
-
2942570109
-
A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation
-
Ioannis G, Minas C, John B et al (2004) A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Trans Energy Convers 19:352–361
-
(2004)
IEEE Trans Energy Convers
, vol.19
, pp. 352-361
-
-
Ioannis, G.1
Minas, C.2
John, B.3
-
20
-
-
84876523900
-
An RBF neural network combined with OLS algorithm and genetic algorithm for short-term wind power forecasting
-
Chang WY (2013) An RBF neural network combined with OLS algorithm and genetic algorithm for short-term wind power forecasting. J Appl Math 2013:1–9
-
(2013)
J Appl Math
, vol.2013
, pp. 1-9
-
-
Chang, W.Y.1
-
21
-
-
80051556876
-
Very short term wind power forecasting using PSO-neural network hybrid system
-
Pratheepraj E, Abraham A, Deepa SN et al (2011) Very short term wind power forecasting using PSO-neural network hybrid system. Comm Comput Inf Sci 192:503–511
-
(2011)
Comm Comput Inf Sci
, vol.192
, pp. 503-511
-
-
Pratheepraj, E.1
Abraham, A.2
Deepa, S.N.3
-
23
-
-
37749024565
-
Genetic algorithms theory and appli-cations (in Chinese). National Defence Industry
-
Zhou M, Sun SD (1999) Genetic algorithms theory and appli-cations (in Chinese). National Defence Industry, Beijing
-
(1999)
Beijing
-
-
Zhou, M.1
Sun, S.D.2
-
24
-
-
63349110410
-
Parameters selection of support vector regression based on genetic algorithm
-
Li LM, Wen GR (2008) Parameters selection of support vector regression based on genetic algorithm. Comput Eng Appl 44: 23–26
-
(2008)
Comput Eng Appl
, vol.44
, pp. 23-26
-
-
Li, L.M.1
Wen, G.R.2
|