-
1
-
-
0025519319
-
A regression-based approach to short-term system load forecasting
-
Nov.
-
A. D. Papalekopulos and T. C. Hesterberg, "A regression-based approach to short-term system load forecasting," IEEE Trans. Power Syst., vol.5, no.4, pp. 1535-1547, Nov. 1990.
-
(1990)
IEEE Trans. Power Syst.
, vol.5
, Issue.4
, pp. 1535-1547
-
-
Papalekopulos, A.D.1
Hesterberg, T.C.2
-
2
-
-
31744444183
-
A comparison of univariate methods for forecasting electricity demand up to a day ahead
-
J. W. Taylor, L. M. de Menezes, and P. E. McSharry, "A comparison of univariate methods for forecasting electricity demand up to a day ahead," Int. J. Forecasting, vol.22, no.1, pp. 1-16, 2006.
-
(2006)
Int. J. Forecasting
, vol.22
, Issue.1
, pp. 1-16
-
-
Taylor, J.W.1
De Menezes, L.M.2
McSharry, P.E.3
-
3
-
-
0026154960
-
Composite modeling for adaptive short-term load forecasting
-
May
-
J. H. Park, Y. M. Park, and K. Y. Lee, "Composite modeling for adaptive short-term load forecasting," IEEE Trans. Power Syst., vol.6, no.2, pp. 450-457, May 1991.
-
(1991)
IEEE Trans. Power Syst.
, vol.6
, Issue.2
, pp. 450-457
-
-
Park, J.H.1
Park, Y.M.2
Lee, K.Y.3
-
4
-
-
0035248045
-
Neural networks for shortterm load forecasting:Areviewand evaluation
-
Feb.
-
H. S. Hippert, C. E. Pedreira, and R. C. Souza, "Neural networks for shortterm load forecasting:Areviewand evaluation," IEEE Trans. Power Syst., vol.16, no.1, pp. 44-55, Feb. 2001.
-
(2001)
IEEE Trans. Power Syst.
, vol.16
, Issue.1
, pp. 44-55
-
-
Hippert, H.S.1
Pedreira, C.E.2
Souza, R.C.3
-
5
-
-
3543008955
-
Learning algorithms for a class of neurofuzzy network and application
-
Aug.
-
M. Figueiredo, R. Ballini, S. Soares,M. Andrade, and F. Gomide, "Learning algorithms for a class of neurofuzzy network and application," IEEE Trans. Syst., Man, Cyber. C, Appl. Rev., vol.34, no.3, pp. 293-301, Aug. 2004.
-
(2004)
IEEE Trans. Syst., Man, Cyber. C, Appl. Rev.
, vol.34
, Issue.3
, pp. 293-301
-
-
Figueiredo, M.1
Ballini, R.2
Soares, S.3
Andrade, M.4
Gomide, F.5
-
6
-
-
58649101329
-
A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks and its prediction applications
-
Jan.
-
C. J. Lin, C. H. Chen, and C. T. Lin, "A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks and its prediction applications," IEEE Trans. Syst.,Man, Cyber. C, Appl. Rev., vol.39, no.1, pp. 55-68, Jan. 2009.
-
(2009)
IEEE Trans. Syst.,Man, Cyber. C, Appl. Rev.
, vol.39
, Issue.1
, pp. 55-68
-
-
Lin, C.J.1
Chen, C.H.2
Lin, C.T.3
-
7
-
-
44649176454
-
Multilayer neuro-fuzzy network for short term electric load forecasting
-
Y. Bodyanskiy, S. Popov, and T. Rybalchenko, "Multilayer neuro-fuzzy network for short term electric load forecasting," Lect. Notes Comput. Sci., vol.5010, pp. 339-348, 2008.
-
(2008)
Lect. Notes Comput. Sci.
, vol.5010
, pp. 339-348
-
-
Bodyanskiy, Y.1
Popov, S.2
Rybalchenko, T.3
-
8
-
-
33746489357
-
Integrating radial basis function neural network with fuzzy control for load forecasting in power system
-
1547038, Proceedings - 2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
-
S. Sheng and C. Wang, "Integrating radial basis function neural network with fuzzy control for load forecasting in power system," in Proc. IEEE Trans. Dist. Conf. Exhib. Asia and Pacific, 2005, pp. 1-5. (Pubitemid 44131051)
-
(2005)
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
, vol.2005
, pp. 1-5
-
-
Sheng, S.1
Wang, C.2
-
9
-
-
40749143065
-
Bayesian neural network approach to short time load forecasting
-
P. Lauret, E. Fock, R. N. Randrianarivony, and J. F. M. Ramsamy, "Bayesian neural network approach to short time load forecasting," Energy Convers. Manage., vol.49, no.5, pp. 1156-1166, 2008.
-
(2008)
Energy Convers. Manage.
, vol.49
, Issue.5
, pp. 1156-1166
-
-
Lauret, P.1
Fock, E.2
Randrianarivony, R.N.3
Ramsamy, J.F.M.4
-
11
-
-
85118436573
-
Extracting support data for a given task
-
Menlo Park. Menlo Park, CA: AAAI Press
-
B. Scholkopf, C. Burges, and V. Vapnik, "Extracting support data for a given task," in Proc. 1st Int. Conf. Knowl. Discovery Data Min., Menlo Park. Menlo Park, CA: AAAI Press, 1995, pp. 252-257.
-
(1995)
Proc. 1st Int. Conf. Knowl. Discovery Data Min.
, pp. 252-257
-
-
Scholkopf, B.1
Burges, C.2
Vapnik, V.3
-
12
-
-
23944439981
-
Support vector machines for quality monitoring in a plastic injection molding process
-
Aug.
-
B. Ribeiro, "Support vector machines for quality monitoring in a plastic injection molding process," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol.35, no.3, pp. 401-410, Aug. 2005.
-
(2005)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev.
, vol.35
, Issue.3
, pp. 401-410
-
-
Ribeiro, B.1
-
13
-
-
67649289964
-
Dual features functional support vector machines for fault detection of rechargeable batteries
-
Jul.
-
J. I. Park, S. H. Baek,M. K. Jeong, and S. J. Bae, "Dual features functional support vector machines for fault detection of rechargeable batteries," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol.39, no.4, pp. 480-485, Jul. 2009.
-
(2009)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev.
, vol.39
, Issue.4
, pp. 480-485
-
-
Park, J.I.1
Baek, S.H.2
Jeong, M.K.3
Bae, S.J.4
-
14
-
-
0003401675
-
A tutorial on support vector regression
-
Royal Holloway College, Univ., London, London, U.K.
-
A. J. Smola and B. Scholkopf, "A tutorial on support vector regression," Royal Holloway College, Univ., London, London, U.K., NeuroCOLT Tech. Rep. NC-TR-98-1030, 1998.
-
(1998)
NeuroCOLT Tech. Rep. NC-TR-98-1030
-
-
Smola, A.J.1
Scholkopf, B.2
-
15
-
-
38349186243
-
Local prediction of non-linear time series using support vector regression
-
May
-
K.W. Lau and Q. H.Wu, "Local prediction of non-linear time series using support vector regression," Pattern Recognit., vol.41, pp. 1539-1547, May 2008.
-
(2008)
Pattern Recognit.
, vol.41
, pp. 1539-1547
-
-
Lau, K.W.1
Wu, Q.H.2
-
16
-
-
3142685488
-
Selection of initial structures with support vector regression for fuzzy neural networks
-
C. C. Chuang and J. T. Jeng, "Selection of initial structures with support vector regression for fuzzy neural networks," Int. J. Fuzzy Syst., vol.6, no.2, pp. 63-70, 2004.
-
(2004)
Int. J. Fuzzy Syst.
, vol.6
, Issue.2
, pp. 63-70
-
-
Chuang, C.C.1
Jeng, J.T.2
-
17
-
-
56049114871
-
Predicting the parts weight in plastic injection molding using least squares support vector regression
-
Nov.
-
X. Li, B. Hu, and R. Du, "Predicting the parts weight in plastic injection molding using least squares support vector regression," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol.38, no.6, pp. 827-833, Nov. 2008.
-
(2008)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev.
, vol.38
, Issue.6
, pp. 827-833
-
-
Li, X.1
Hu, B.2
Du, R.3
-
18
-
-
0036825528
-
Weighted least squares support vector machines: Robustness and sparse approximation
-
Oct.
-
J. A. K. Suykens, J. D. Brabanter, L. Lukas, and J. Vandewalle, "Weighted least squares support vector machines: Robustness and sparse approximation," Neurocomputing, vol.48, no.1-4, pp. 85-105, Oct. 2002.
-
(2002)
Neurocomputing
, vol.48
, Issue.1-4
, pp. 85-105
-
-
Suykens, J.A.K.1
Brabanter, J.D.2
Lukas, L.3
Vandewalle, J.4
-
19
-
-
9244240793
-
Load forecasting using support vector machines: A study on eunite competition 2001
-
Nov.
-
B. J. Chen, M. W. Chang, and C. J. Lin, "Load forecasting using support vector machines: A study on eunite competition 2001," IEEE Trans. Power Syst., vol.19, no.4, pp. 1821-1830, Nov. 2004.
-
(2004)
IEEE Trans. Power Syst.
, vol.19
, Issue.4
, pp. 1821-1830
-
-
Chen, B.J.1
Chang, M.W.2
Lin, C.J.3
-
20
-
-
35148828595
-
Electric load forecasting using kernel based modeling for nonlinear system identification
-
Oct.
-
M. Espinoza, J. A. K. Suykens, R. Belmans, and B.D.Moor, "Electric load forecasting using kernel based modeling for nonlinear system identification," IEEE Control Syst. Mag., Special Issue Appl. Syst. Identification, vol.27, no.5, pp. 43-57, Oct. 2007.
-
(2007)
IEEE Control Syst. Mag., Special Issue Appl. Syst. Identification
, vol.27
, Issue.5
, pp. 43-57
-
-
Espinoza, M.1
Suykens, J.A.K.2
Belmans, R.3
Moor, B.D.4
-
22
-
-
71849112596
-
Forecasting electric daily peak load based on local prediction
-
Calgary, Canada, Jul. 26-30
-
E. E. El-Attar, J. Y. Goulermas, and Q. H.Wu, "Forecasting electric daily peak load based on local prediction," in Proc. IEEE Power Eng. Soc. Gen. Meeting (PESGM 2009), Calgary, Canada, Jul. 26-30, pp. 1-6.
-
Proc. IEEE Power Eng. Soc. Gen. Meeting (PESGM 2009)
, pp. 1-6
-
-
El-Attar, E.E.1
Goulermas, J.Y.2
Wu, Q.H.3
-
23
-
-
84947318637
-
Locally weighted regression: An approach to regression analysis by local fitting
-
Sep.
-
W. S. Cleveland and S. J. Devlin, "Locally weighted regression: An approach to regression analysis by local fitting," J. Amer. Statist. Assoc., vol.83, no.403, pp. 596-610, Sep. 1988.
-
(1988)
J. Amer. Statist. Assoc.
, vol.83
, Issue.403
, pp. 596-610
-
-
Cleveland, W.S.1
Devlin, S.J.2
-
24
-
-
0031074521
-
Locally weighted learning
-
Apr.
-
C. C. Atkeson, A.W. Moore, and S. Schaal, "Locally weighted learning," Artif. Intell. Rev. (Spec. Issue Lazy Learning), vol.11, pp. 11-73, Apr. 1997.
-
(1997)
Artif. Intell. Rev. (Spec. Issue Lazy Learning)
, vol.11
, pp. 11-73
-
-
Atkeson, C.C.1
Moore, A.W.2
Schaal, S.3
-
26
-
-
77953699145
-
-
[Online]
-
(2008). [Online].Available: http://www.ee.washington.edu/class/555/ elsharkawi/index-files/Page3404.htm
-
(2008)
-
-
-
27
-
-
34249982739
-
Predicting chaotic time series
-
J. D. Farmer and J. J. Sidorowich, "Predicting chaotic time series," Phys. Rev. Lett., vol.59, pp. 845-848, 1987.
-
(1987)
Phys. Rev. Lett.
, vol.59
, pp. 845-848
-
-
Farmer, J.D.1
Sidorowich, J.J.2
-
28
-
-
45149144372
-
Non-linear prediction of chaotic time series
-
M. Casdagli, "Non-linear prediction of chaotic time series," Phys. D, vol.35, no.3, pp. 335-356, 1989.
-
(1989)
Phys. D
, vol.35
, Issue.3
, pp. 335-356
-
-
Casdagli, M.1
-
29
-
-
0033177289
-
Winning entry of the K.U.Leuven time series prediction competition
-
Aug.
-
J. McNames, J. A. K. Suykens, and J. Vandewalle, "Winning entry of the K.U.Leuven time series prediction competition," Int. J. Bifurcation Chaos, vol.9, no.8, pp. 1485-1500, Aug. 1999.
-
(1999)
Int. J. Bifurcation Chaos
, vol.9
, Issue.8
, pp. 1485-1500
-
-
McNames, J.1
Suykens, J.A.K.2
Vandewalle, J.3
-
30
-
-
0036825901
-
Modified support vector machines in financial time series forecasting
-
F. E. H. Tay and L. J. Cao, "Modified support vector machines in financial time series forecasting," Neurocomputing, vol.48, pp. 847-861, 2002.
-
(2002)
Neurocomputing
, vol.48
, pp. 847-861
-
-
Tay, F.E.H.1
Cao, L.J.2
-
31
-
-
15944390632
-
Weighted support vectormachine for quality estimation in the polymerization process
-
D. E. Lee, J. H. Song, S. O. Song, and E. S. Yoon, "Weighted support vectormachine for quality estimation in the polymerization process," Ind. Eng. Chem. Res., vol.44, pp. 2101-2105, 2005.
-
(2005)
Ind. Eng. Chem. Res.
, vol.44
, pp. 2101-2105
-
-
Lee, D.E.1
Song, J.H.2
Song, S.O.3
Yoon, E.S.4
-
32
-
-
38049089359
-
Short-term load forecasting based on fuzzy C-mean clustering and weighted support vector machines
-
G. S. Hu, Y. Z. Zhang, and F. F. Zhu, "Short-term load forecasting based on fuzzy C-mean clustering and weighted support vector machines," in Proc. 3rd Int. Conf. Natural Comput. (ICNC 2007), pp. 654-659.
-
Proc. 3rd Int. Conf. Natural Comput. (ICNC 2007)
, pp. 654-659
-
-
Hu, G.S.1
Zhang, Y.Z.2
Zhu, F.F.3
-
33
-
-
0000779360
-
Detecting strange attractors in turbulence
-
Berlin, Germany: Springer-Verlag
-
F. Takens, Detecting strange attractors in turbulence (Lect. Notes Comput. Sci. 898). Berlin, Germany: Springer-Verlag, 1981, pp. 366-381.
-
(1981)
Lect. Notes Comput. Sci. 898
, pp. 366-381
-
-
Takens, F.1
-
34
-
-
33751278790
-
Embedology
-
May
-
T. Sauer, J. A. Yorke, and M. Casdagli, "Embedology," J. Statist. Phys., vol.65, pp. 579-616, May 1991.
-
(1991)
J. Statist. Phys.
, vol.65
, pp. 579-616
-
-
Sauer, T.1
Yorke, J.A.2
Casdagli, M.3
-
35
-
-
0001778461
-
Dynamics from multivariate time series
-
Oct.
-
L. Cao, A. Mees, and K. Judd, "Dynamics from multivariate time series," Phys. D, vol.121, pp. 75-88, Oct. 1998.
-
(1998)
Phys. D
, vol.121
, pp. 75-88
-
-
Cao, L.1
Mees, A.2
Judd, K.3
-
36
-
-
34548258307
-
Online support vector regression approach for the monitoring of motor shaft misalignment and feedwater flow rate
-
Sep.
-
O. A. Omitaomu, M. K. Jeong, A. B. Badiru, and J. W. Hines, "Online support vector regression approach for the monitoring of motor shaft misalignment and feedwater flow rate," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol.37, no.5, pp. 962-970, Sep. 2007.
-
(2007)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev.
, vol.37
, Issue.5
, pp. 962-970
-
-
Omitaomu, O.A.1
Jeong, M.K.2
Badiru, A.B.3
Hines, J.W.4
-
37
-
-
84988097431
-
Gaussian-based kernels for curve estimation and windowwidth selection
-
M. P. Wand and W. R. Schucany, "Gaussian-based kernels for curve estimation and windowwidth selection," Can. J. Statist., vol.18, pp. 197-204, 1990.
-
(1990)
Can. J. Statist.
, vol.18
, pp. 197-204
-
-
Wand, M.P.1
Schucany, W.R.2
-
38
-
-
34047233941
-
An improved locally weighted regression for a converter re-vanadium prediction modeling
-
Dalian, China, Jun. 21-23
-
H.Wang, C. Cao, andH. Leung, "An improved locally weighted regression for a converter re-vanadium prediction modeling," in Proc. 6th World Congr. Intell. Control Autom., Dalian, China, Jun. 21-23, 2006, pp. 1515-1519.
-
(2006)
Proc. 6th World Congr. Intell. Control Autom.
, pp. 1515-1519
-
-
Wang, H.1
Cao, C.2
Leung, H.3
-
39
-
-
0347586869
-
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
-
Berlin, Germany: Springer-Verlag
-
A. T. Lora, J. C. Riquelme, and J. L. M. Ramos, Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production (Lect. Notes Comput. Sci. 2902). Berlin, Germany: Springer-Verlag, 2003, pp. 189-203.
-
(2003)
Lect. Notes Comput. Sci. 2902
, pp. 189-203
-
-
Lora, A.T.1
Riquelme, J.C.2
Ramos, J.L.M.3
-
40
-
-
25144447299
-
Input and Structure Selection for k-NN Approximator
-
Berlin, Germany: Springer-Verlag
-
A. Sorjamaa, N. Reyhani, and A. Lendasse, Input and Structure Selection for k-NN Approximator (Lect. Notes Comput. Sci. 3512). Berlin, Germany: Springer-Verlag, 2005, pp. 985-992.
-
(2005)
Lect. Notes Comput. Sci. 3512
, pp. 985-992
-
-
Sorjamaa, A.1
Reyhani, N.2
Lendasse, A.3
-
41
-
-
33644676683
-
Predicting engine reliability by support vector machines
-
W. C. Hong and P. F. Pai, "Predicting engine reliability by support vector machines," Int. J. Adv. Manuf. Technol., vol.28, pp. 154-161, 2006.
-
(2006)
Int. J. Adv. Manuf. Technol.
, vol.28
, pp. 154-161
-
-
Hong, W.C.1
Pai, P.F.2
-
42
-
-
0002322469
-
On a test of whether one of two random variables is stochastically larger than the other
-
H. Mann and D. Whitney, "On a test of whether one of two random variables is stochastically larger than the other," Ann. Math. Statist., vol.18, no.1, pp. 50-60, 1947.
-
(1947)
Ann. Math. Statist.
, vol.18
, Issue.1
, pp. 50-60
-
-
Mann, H.1
Whitney, D.2
-
43
-
-
46449096404
-
Electric load forecasting using support vector machines optimized by genetic algorithm
-
Dec. 23-24
-
S. R. Abbas and M. Arif, "Electric load forecasting using support vector machines optimized by genetic algorithm," in Proc. IEEE Multitopic Conf. (INMIC 2006), Dec. 23-24, pp. 395-399.
-
Proc. IEEE Multitopic Conf. (INMIC 2006)
, pp. 395-399
-
-
Abbas, S.R.1
Arif, M.2
-
44
-
-
8644284260
-
Input dimension reduction for load forecasting based on support vector machines
-
Hong Kong
-
X. Tao, H. Renmu, W. Peng, and X. Dongjie, "Input dimension reduction for load forecasting based on support vector machines," in Proc. IEEE Int. Conf. Elect. Utility Deregulation, Restruct. Power Tech. (DRPT 2004), Hong Kong, pp. 510-514.
-
Proc. IEEE Int. Conf. Elect. Utility Deregulation, Restruct. Power Tech. (DRPT 2004)
, pp. 510-514
-
-
Tao, X.1
Renmu, H.2
Peng, W.3
Dongjie, X.4
-
45
-
-
36348930598
-
Toward estimation autonomous neural network-based electric load forecasters
-
Nov.
-
V. H. Ferreira and A. P. A. da Silva, "Toward estimation autonomous neural network-based electric load forecasters," IEEE Trans. Power Syst., vol.22, no.4, pp. 1554-1562, Nov. 2007.
-
(2007)
IEEE Trans. Power Syst.
, vol.22
, Issue.4
, pp. 1554-1562
-
-
Ferreira, V.H.1
Da Silva, A.P.A.2
-
46
-
-
0031168758
-
Short-run forecasts of electricity loads and peaks
-
R. Ramanathan, R. Engle, C. W. J. Granger, F. V. Araghi, and C. Brace, "Short-run forecasts of electricity loads and peaks," Int. J. Forecasting, vol.13, pp. 161-174, 1997.
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 161-174
-
-
Ramanathan, R.1
Engle, R.2
Granger, C.W.J.3
Araghi, F.V.4
Brace, C.5
|