-
1
-
-
35348922850
-
On-line dynamic security assessment using intelligent systems
-
Tampa, FL, Jun.
-
K. Morison, "On-line dynamic security assessment using intelligent systems," in Proc. IEEE PES General Meeting, Tampa, FL, Jun. 2006.
-
(2006)
Proc. IEEE PES General Meeting
-
-
Morison, K.1
-
2
-
-
84864278636
-
Real-time stability assessment of electric power systems with intelligent systems
-
to be published
-
Z. Y. Dong, Y. Xu, P. Zhang, and K. P. Wong, "Real-time stability assessment of electric power systems with intelligent systems," IEEE Intell. Syst. Mag., to be published.
-
IEEE Intell. Syst. Mag.
-
-
Dong, Z.Y.1
Xu, Y.2
Zhang, P.3
Wong, K.P.4
-
3
-
-
0028370981
-
Decision tree based transient stabilitymethod a case study
-
Feb.
-
L. Wehenkel,M. Pavella, E. Euxibie, and B. Heilbronn, "Decision tree based transient stabilitymethod a case study," IEEE Trans. Power Syst., vol. 9, no. 1, pp. 459-469, Feb. 1994.
-
(1994)
IEEE Trans. Power Syst.
, vol.9
, Issue.1
, pp. 459-469
-
-
Wehenkel, L.1
Euxibie, E.2
Heilbronn, B.3
-
4
-
-
0035506958
-
Power system security assessment using neural networks: Feature selection using fisher discrimination
-
DOI 10.1109/59.962423, PII S0885895001094214
-
C. A. Jensen and M. A. El-Sharkawi, "Power system security assessment using neural networks: Feature selection using Fisher discrimination," IEEE Trans. Power Syst., vol. 16, no. 4, pp. 757-763, Nov. 2001. (Pubitemid 33109801)
-
(2001)
IEEE Transactions on Power Systems
, vol.16
, Issue.4
, pp. 757-763
-
-
Jensen, C.A.1
El-Sharkawi, M.A.2
Marks II, R.J.3
-
6
-
-
36348946449
-
An online dynamic security assessment scheme using phasor measurements and decision trees
-
DOI 10.1109/TPWRS.2007.908476
-
K. Sun, S. Likhate, V. Vittal, V. Kolluri, and S. Mandal, "An online dynamic security assessment scheme using phasor measurements and decision trees," IEEE Trans. Power Syst., vol. 22, no. 4, pp. 1935-1943, Nov. 2007. (Pubitemid 350141994)
-
(2007)
IEEE Transactions on Power Systems
, vol.22
, Issue.4
, pp. 1935-1943
-
-
Sun, K.1
Likhate, S.2
Vittal, V.3
Kolluri, V.S.4
Mandal, S.5
-
8
-
-
36849069879
-
Mining complex power networks for blackout prevention
-
Aug.
-
J. H. Zhao, Z. Y. Dong, and P. Zhang, "Mining complex power networks for blackout prevention," in Proc. 13th ACM SIGKDD, Aug. 2007.
-
(2007)
Proc. 13th ACM SIGKDD
-
-
Zhao, J.H.1
Dong, Z.Y.2
Zhang, P.3
-
9
-
-
0035425970
-
Time-varying contingency screening for dynamic security assessment using intelligent-systems techniques
-
DOI 10.1109/59.932291, PII S088589500106076X
-
I. Kamwa, R. Grondin, and L. Loud, "Time-varying contingency screening for dynamic security assessment using intelligent-systems," IEEE Trans. Power Syst., vol. 16, no. 3, pp. 526-536, Aug. 2001. (Pubitemid 32680753)
-
(2001)
IEEE Transactions on Power Systems
, vol.16
, Issue.3
, pp. 526-536
-
-
Kamwa, I.1
Grondin, R.2
Loud, L.3
-
10
-
-
77956061584
-
Catastrophe predictors from ensemble decision-tree learning of wide-area severity indices
-
Sep.
-
I. Kamwa, S. R. Samantary, and G. Joos, "Catastrophe predictors from ensemble decision-tree learning of wide-area severity indices," IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 144-157, Sep. 2010.
-
(2010)
IEEE Trans. Smart Grid
, vol.1
, Issue.2
, pp. 144-157
-
-
Kamwa, I.1
Samantary, S.R.2
Joos, G.3
-
11
-
-
60149086045
-
Development of rule-based classifiers for rapid stability assessment of wide-area post-disturbance records
-
Feb.
-
I. Kamwa, S. R. Samantaray, and G. Joos, "Development of rule-based classifiers for rapid stability assessment of wide-area post-disturbance records," IEEE Trans. Power Syst., vol. 24, no. 1, pp. 258-270, Feb. 2009.
-
(2009)
IEEE Trans. Power Syst.
, vol.24
, Issue.1
, pp. 258-270
-
-
Kamwa, I.1
Samantaray, S.R.2
Joos, G.3
-
12
-
-
34548011487
-
Transient stability prediction by a hybrid intelligent system
-
DOI 10.1109/TPWRS.2007.901667
-
N. Amjady and S. Majedi, "Transient stability prediction by hybrid intelligent system," IEEE Trans. Power Syst., vol. 22, no. 3, pp. 1275-1283, Aug. 2007. (Pubitemid 47278387)
-
(2007)
IEEE Transactions on Power Systems
, vol.22
, Issue.3
, pp. 1275-1283
-
-
Amjady, N.1
Majedi, S.F.2
-
13
-
-
77952312568
-
Transient stability prediction of power systems by a new synchronism status index and hybrid classifier
-
Apr.
-
N. Amjady and S. A. Banihashemi, "Transient stability prediction of power systems by a new synchronism status index and hybrid classifier," IET Gen., Transm., Distrib., vol. 4, pp. 509-518, Apr. 2010.
-
(2010)
IET Gen., Transm., Distrib.
, vol.4
, pp. 509-518
-
-
Amjady, N.1
Banihashemi, S.A.2
-
14
-
-
77951666961
-
Rotor angle instability prediction using post-disturbance voltage trajectories
-
May
-
A. D. Rajapakse, F. Gomez, K. Nanayakkara, P. A. Crossley, and V. V. Terzija, "Rotor angle instability prediction using post-disturbance voltage trajectories," IEEE Trans. Power Syst., vol. 25, no. 2, pp. 947-956, May 2010.
-
(2010)
IEEE Trans. Power Syst.
, vol.25
, Issue.2
, pp. 947-956
-
-
Rajapakse, A.D.1
Gomez, F.2
Nanayakkara, K.3
Crossley, P.A.4
Terzija, V.V.5
-
15
-
-
77956061246
-
Next-generation monitoring, analysis, and control for the future smart control centre
-
Sep.
-
P. Zhang, F. Li, and N. Bhatt, "Next-generation monitoring, analysis, and control for the future smart control centre," IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 186-192, Sep. 2010.
-
(2010)
IEEE Trans. Smart Grid
, vol.1
, Issue.2
, pp. 186-192
-
-
Zhang, P.1
Li, F.2
Bhatt, N.3
-
16
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
DOI 10.1016/j.neucom.2005.12.126, PII S0925231206000385
-
G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, pp. 489-501, 2006. (Pubitemid 44615772)
-
(2006)
Neurocomputing
, vol.70
, Issue.1-3
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
17
-
-
34047174077
-
A fast and accurate online sequential learning algorithm for feedforward networks
-
DOI 10.1109/TNN.2006.880583
-
N.-Y. Liang, G.-B. Huang, P. Saratchandran, and N. Sundararajan, "A fast and accurate online sequential learning algorithm for feedforward networks," IEEE Trans. Neural Netw., vol. 17, no. 6, pp. 1411-1423, Nov. 2006. (Pubitemid 44824256)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.-Y.1
Huang, G.-B.2
Saratchandran, P.3
Sundararajan, N.4
-
18
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
DOI 10.1109/TNN.2006.875977
-
G.-B. Huang, L. Chen, and C.-K. Siew, "Universal approximation using incremental constructive feedforward networks with random hidden nodes," IEEE Trans. Neural Netw., vol. 17, no. 4, pp. 879-892, Jul. 2006. (Pubitemid 44194149)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.-B.1
Chen, L.2
Siew, C.-K.3
-
19
-
-
0032028728
-
The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
-
PII S0018944898009316
-
P. L. Bartlett, "The sample complexity of pattern classification with neural networks: The size of the weights ismore important than the size of the network," IEEE Trans. Inf. Theory, vol. 44, no. 2, pp. 525-536, Mar. 1998. (Pubitemid 128737620)
-
(1998)
IEEE Transactions on Information Theory
, vol.44
, Issue.2
, pp. 525-536
-
-
Bartlett, P.L.1
-
20
-
-
0025507176
-
Neural network ensemble
-
Oct.
-
L.K. Hansen and P. Salamon, "Neural network ensemble," IEEE Trans. Pattern Anal.Mach. Intell., vol. 12, no. 10, pp. 993-1001,Oct. 1990.
-
(1990)
IEEE Trans. Pattern Anal.Mach. Intell.
, vol.12
, Issue.10
, pp. 993-1001
-
-
Hansen, L.K.1
Salamon, P.2
-
21
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
L. Breiman, "Random forests," Mach. Learn., vol. 45, pp. 5-32, 2001. (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
22
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
DOI 10.1016/S0004-3702(02)00190-X, PII S000437020200190X
-
Z. H. Zhou, J. Wu, and W. Tang, "Ensembling neural networks: Many could be better than all," Artif. Intell., vol. 137, pp. 239-263, 2002. (Pubitemid 34405220)
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
-
23
-
-
85146422424
-
A practical approach to feature selection
-
K. Kira and L. Rendell, "A practical approach to feature selection," in Proc. 9th Conf. Mach. Learn., 1992, pp. 249-256.
-
(1992)
Proc. 9th Conf. Mach. Learn.
, pp. 249-256
-
-
Kira, K.1
Rendell, L.2
-
24
-
-
0141990695
-
Theoretical and empirical analysis of ReliefF and RRelief
-
M. Sikonja and I. Kononenko, "Theoretical and empirical analysis of ReliefF and RRelief," Mach. Learn., vol. 53, pp. 23-69, 2003.
-
(2003)
Mach. Learn.
, vol.53
, pp. 23-69
-
-
Sikonja, M.1
Kononenko, I.2
-
25
-
-
84864280034
-
Preventive dynamic security control of power systems based on pattern discovery technique
-
Aug.
-
Y. Xu, Z. Y. Dong, L. Guan, K. P. Wong, and F. Luo, "Preventive dynamic security control of power systems based on pattern discovery technique," IEEE Trans. Power Syst., vol. 27, no. 3, pp. 1236-1244, Aug. 2012.
-
(2012)
IEEE Trans. Power Syst.
, vol.27
, Issue.3
, pp. 1236-1244
-
-
Xu, Y.1
Dong, Z.Y.2
Guan, L.3
Wong, K.P.4
Luo, F.5
-
26
-
-
77953335297
-
Speed-up the computing efficiency of power system simulator for engineeringbased power system transient stability simulations
-
May
-
K. Meng, Z. Y. Dong, K. P. Wong, Y. Xu, and F. Luo, "Speed-up the computing efficiency of power system simulator for engineeringbased power system transient stability simulations," IET Gen., Transm. Distrib., vol. 4, pp. 652-661, May 2010.
-
(2010)
IET Gen., Transm. Distrib.
, vol.4
, pp. 652-661
-
-
Meng, K.1
Dong, Z.Y.2
Wong, K.P.3
Xu, Y.4
Luo, F.5
-
27
-
-
0026821866
-
Transient stability test systems for direct stability methods
-
IEEE Committee Report, Feb.
-
IEEE Committee Report, "Transient stability test systems for direct stability methods," IEEE Trans. Power Syst., vol. 7, no. 1, pp. 37-44, Feb. 1992.
-
(1992)
IEEE Trans. Power Syst.
, vol.7
, Issue.1
, pp. 37-44
-
-
-
28
-
-
84864286339
-
-
[Online]. Available
-
[Online]. Available: http://www.ee.washington.edu/research/pstca/.
-
-
-
-
29
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data sets
-
A. Estabrooks, T. Jo, and N. Japkowicz, "A multiple resampling method for learning from imbalanced data sets," Computat. Intell., vol. 20, no. 1, pp. 18-36, 2004.
-
(2004)
Computat. Intell.
, vol.20
, Issue.1
, pp. 18-36
-
-
Estabrooks, A.1
Jo, T.2
Japkowicz, N.3
-
31
-
-
33745561205
-
An introduction to variable and feature selection
-
I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learn. Res., vol. 3, pp. 1157-1182, 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
32
-
-
84864279415
-
-
M.E. thesis, South China University of Technology, Guangzhou, China
-
Y. Xu, "Research of feature reduction techniques and its application to data-driven power system transient stability assessment," M.E. thesis, South China University of Technology, Guangzhou, China, 2011.
-
(2011)
Research of Feature Reduction Techniques and its Application to Data-Driven Power System Transient Stability Assessment
-
-
Xu, Y.1
-
33
-
-
0031190744
-
Dynamic security contingency screening and ranking using neural networks
-
PII S1045922797048066
-
Y. Mansour, E. Vaahedi, and A. El-Sharkawi, "Dynamic security contingency screening and ranking using neural networks," IEEE Trans. Neural Netw., vol. 8, no. 4, pp. 942-950, Jul. 1997. (Pubitemid 127765152)
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.4
, pp. 942-950
-
-
Mansour, Y.1
Vaahedi, E.2
El-Sharkawi, M.A.3
|