-
1
-
-
84892238099
-
Voltage stability of electric power systems
-
Springer International p. 32
-
Cutsem, T.V., Vournas, C., Voltage stability of electric power systems. 2007, Springer International p. 32.
-
(2007)
-
-
Cutsem, T.V.1
Vournas, C.2
-
2
-
-
0003393654
-
Power system stability and control
-
McGraw-Hill New York
-
Kundur, P., Power system stability and control. 1994, McGraw-Hill, New York.
-
(1994)
-
-
Kundur, P.1
-
3
-
-
0003824510
-
Power system voltage stability
-
McGraw-Hill New York
-
Taylor, C.W., Power system voltage stability. 1994, McGraw-Hill, New York.
-
(1994)
-
-
Taylor, C.W.1
-
4
-
-
0026754899
-
-
The continuation power flow: a tool for steady state voltage stability analysis. In: Power Industry Computer Application Conference Conference Proceedings; 1991
-
Ajjarapu V, Christy C. The continuation power flow: a tool for steady state voltage stability analysis. In: Power Industry Computer Application Conference, 1991. Conference Proceedings; 1992. p. 304–11.
-
(1992)
, pp. 304-11
-
-
Ajjarapu, V.1
Christy, C.2
-
5
-
-
0034430608
-
On-line voltage stability monitoring
-
Souza, A.C.Z.D., Souza, J.C.S.D., Silva, A.M.L.D., On-line voltage stability monitoring. IEEE Trans Power Syst 15 (2007), 1300–1305.
-
(2007)
IEEE Trans Power Syst
, vol.15
, pp. 1300-1305
-
-
Souza, A.C.Z.D.1
Souza, J.C.S.D.2
Silva, A.M.L.D.3
-
6
-
-
0033327922
-
Rule extraction for voltage security margin estimation
-
Su, M.C., Liu, C.W., Chang, C.S., Rule extraction for voltage security margin estimation. IEEE Trans Ind Electron 46 (1999), 1114–1122.
-
(1999)
IEEE Trans Ind Electron
, vol.46
, pp. 1114-1122
-
-
Su, M.C.1
Liu, C.W.2
Chang, C.S.3
-
7
-
-
0031234529
-
Machine learning approaches to power system security assessment
-
Wehenkel, L., Machine learning approaches to power system security assessment. IEEE Expert 12 (2002), 60–72.
-
(2002)
IEEE Expert
, vol.12
, pp. 60-72
-
-
Wehenkel, L.1
-
8
-
-
51549085470
-
-
A hybrid method of optimal data mining and artificial neural network for voltage stability assessment. In: Power Tech, 2005 IEEE Russia
-
Mori H, Komatsu Y. A hybrid method of optimal data mining and artificial neural network for voltage stability assessment. In: Power Tech, 2005 IEEE Russia; 2005. p. 1–7.
-
(2005)
, pp. 1-7
-
-
Mori, H.1
Komatsu, Y.2
-
9
-
-
35348925933
-
-
Novel algorithm for online voltage stability assessment based on feed forward neural network. In: Power Engineering Society General Meeting pp.
-
Kamalasadan S, Srivastava AK, Thukaram D. Novel algorithm for online voltage stability assessment based on feed forward neural network. In: Power Engineering Society General Meeting; 2006. p. 7 pp.
-
(2006)
, pp. 7
-
-
Kamalasadan, S.1
Srivastava, A.K.2
Thukaram, D.3
-
10
-
-
50249111067
-
-
A novel ANN based method for online voltage stability assessment. In: International Conference on Intelligent Systems Applications To Power Systems
-
Suthar B, Balasubramanian R. A novel ANN based method for online voltage stability assessment. In: International Conference on Intelligent Systems Applications To Power Systems; 2007. p. 1–6.
-
(2007)
, pp. 1-6
-
-
Suthar, B.1
Balasubramanian, R.2
-
11
-
-
84860680277
-
-
A real time PMU data and neural network approach to analyze voltage stability. In: International Conference on Advanced Power System Automation and Protection p.
-
Innah H, Hiyama T. A real time PMU data and neural network approach to analyze voltage stability. In: International Conference on Advanced Power System Automation and Protection; 2012. p. 1263–67.
-
(2012)
, pp. 1263-67
-
-
Innah, H.1
Hiyama, T.2
-
12
-
-
84937113937
-
-
Genetic algorithm based artificial neural network model for voltage stability monitoring. In: Eighteenth National Power Systems Conference
-
Sajan KS, Tyagi B, Kumar V. Genetic algorithm based artificial neural network model for voltage stability monitoring. In: Eighteenth National Power Systems Conference; 2015. p. 1–5.
-
(2015)
, pp. 1-5
-
-
Sajan, K.S.1
Tyagi, B.2
Kumar, V.3
-
13
-
-
84939512395
-
-
On-line power systems voltage stability monitoring using artificial neural networks. In: International Symposium on Advanced Topics in Electrical Engineering p.
-
Bulac C, Triştiu I, Mandiş A, Toma L. On-line power systems voltage stability monitoring using artificial neural networks. In: International Symposium on Advanced Topics in Electrical Engineering; 2015. p. 622–25.
-
(2015)
, pp. 622-25
-
-
Bulac, C.1
Triştiu, I.2
Mandiş, A.3
Toma, L.4
-
14
-
-
84893864992
-
Power system voltage stability monitoring using artificial neural networks with a reduced set of inputs
-
Bahmanyar, A.R., Karami, A., Power system voltage stability monitoring using artificial neural networks with a reduced set of inputs. Int J Electr Power Energy Syst 58 (2014), 246–256.
-
(2014)
Int J Electr Power Energy Syst
, vol.58
, pp. 246-256
-
-
Bahmanyar, A.R.1
Karami, A.2
-
15
-
-
84998814318
-
Voltage stability monitoring of power systems using reduced network and artificial neural network
-
Ashraf, S.M., Gupta, A., Choudhary, D.K., Chakrabarti, S., Voltage stability monitoring of power systems using reduced network and artificial neural network. Int J Electr Power Energy Syst 87 (2017), 43–51.
-
(2017)
Int J Electr Power Energy Syst
, vol.87
, pp. 43-51
-
-
Ashraf, S.M.1
Gupta, A.2
Choudhary, D.K.3
Chakrabarti, S.4
-
16
-
-
84962132510
-
-
ICA based artificial neural network model for voltage stability monitoring. In: TENCON 2015 - 2015 IEEE Region 10 Conference
-
Sajan KS, Kumar V, Tyagi B. ICA based artificial neural network model for voltage stability monitoring. In: TENCON 2015 - 2015 IEEE Region 10 Conference; 2016. p. 1–3.
-
(2016)
, pp. 1-3
-
-
Sajan, K.S.1
Kumar, V.2
Tyagi, B.3
-
18
-
-
77954834866
-
Online monitoring of voltage stability margin using an artificial neural network
-
Zhou, D.Q., Annakkage, U.D., Rajapakse, A.D., Online monitoring of voltage stability margin using an artificial neural network. IEEE Trans Power Syst 25 (2010), 1566–1574.
-
(2010)
IEEE Trans Power Syst
, vol.25
, pp. 1566-1574
-
-
Zhou, D.Q.1
Annakkage, U.D.2
Rajapakse, A.D.3
-
19
-
-
84929620516
-
Genetic algorithm based support vector machine for on-line voltage stability monitoring
-
Sajan, K.S., Kumar, V., Tyagi, B., Genetic algorithm based support vector machine for on-line voltage stability monitoring. Int J Electr Power Energy Syst 73 (2015), 200–208.
-
(2015)
Int J Electr Power Energy Syst
, vol.73
, pp. 200-208
-
-
Sajan, K.S.1
Kumar, V.2
Tyagi, B.3
-
20
-
-
84990303629
-
-
Frank E: data mining: practical machine learning tools and techniques, 2nd ed. Biomedical Engineering Online
-
Azuaje F. Witten IH, Frank E: data mining: practical machine learning tools and techniques, 2nd ed. Biomedical Engineering Online, vol. 5; 2006. p. 51.
-
(2006)
, vol.5
, pp. 51
-
-
Azuaje, F.1
Witten, IH.2
-
21
-
-
85076855719
-
-
Zaki, Mohammed J. Data mining and analysis: foundations and algorithms. Cambridge University Press;.
-
Zaki, Mohammed J. Data mining and analysis: foundations and algorithms. Cambridge University Press; 2014.
-
(2014)
-
-
-
22
-
-
36348946449
-
An online dynamic security assessment scheme using phasor measurements and decision trees
-
Sun, K., Likhate, S., Vittal, V., Kolluri, V.S., Mandal, S., An online dynamic security assessment scheme using phasor measurements and decision trees. IEEE Trans Power Syst 22 (2008), 1935–1943.
-
(2008)
IEEE Trans Power Syst
, vol.22
, pp. 1935-1943
-
-
Sun, K.1
Likhate, S.2
Vittal, V.3
Kolluri, V.S.4
Mandal, S.5
-
23
-
-
67349093230
-
Decision tree-based online voltage security assessment using PMU measurements
-
Diao, R., Sun, K., Vittal, V., O'Keefe, R.J., Richardson, M.R., Bhatt, N., et al. Decision tree-based online voltage security assessment using PMU measurements. IEEE Trans Power Syst 24 (2009), 832–839.
-
(2009)
IEEE Trans Power Syst
, vol.24
, pp. 832-839
-
-
Diao, R.1
Sun, K.2
Vittal, V.3
O'Keefe, R.J.4
Richardson, M.R.5
Bhatt, N.6
-
24
-
-
84951325456
-
-
A random forest-based approach for voltage security monitoring in a power system. In: PowerTech, 2015 IEEE Eindhoven
-
Negnevitsky M, Tomin N, Kurbatsky V, Panasetsky D, Zhukov A, Rehtanz C. A random forest-based approach for voltage security monitoring in a power system. In: PowerTech, 2015 IEEE Eindhoven; 2015. p. 1–6.
-
(2015)
, pp. 1-6
-
-
Negnevitsky, M.1
Tomin, N.2
Kurbatsky, V.3
Panasetsky, D.4
Zhukov, A.5
Rehtanz, C.6
-
25
-
-
0037901701
-
Classification and Regression Trees
-
John Wiley & Sons Ltd
-
Everitt, B.S., Classification and Regression Trees. 2005, John Wiley & Sons Ltd.
-
(2005)
-
-
Everitt, B.S.1
-
26
-
-
37549018049
-
Top 10 algorithms in data mining
-
Wu, X., Kumar, V., Quinlan, J.R., Ghosh, J., Yang, Q., Motoda, H., et al. Top 10 algorithms in data mining. Knowl Inf Syst 14 (2007), 1–37.
-
(2007)
Knowl Inf Syst
, vol.14
, pp. 1-37
-
-
Wu, X.1
Kumar, V.2
Quinlan, J.R.3
Ghosh, J.4
Yang, Q.5
Motoda, H.6
-
27
-
-
85076850845
-
-
Data mining: concepts and techniques. Data Mining Concepts Models Methods & Algorithms Second Edition
-
Han J, Kamber M. Data mining: concepts and techniques. Data Mining Concepts Models Methods & Algorithms Second Edition, vol. 5; 2011. p. 1–18.
-
(2011)
, vol.5
, pp. 1-18
-
-
Han, J.1
Kamber, M.2
-
28
-
-
0026953350
-
Voltage stability evaluation using modal analysis
-
Gao, B., Morison, G.K., Kundur, P., Voltage stability evaluation using modal analysis. Power Syst IEEE Trans 7 (1992), 1529–1542.
-
(1992)
Power Syst IEEE Trans
, vol.7
, pp. 1529-1542
-
-
Gao, B.1
Morison, G.K.2
Kundur, P.3
-
29
-
-
85076831733
-
-
Feature selection for classification: A review. Documentación Administrativa
-
Tang J, Alelyani S, Liu H. Feature selection for classification: A review. Documentación Administrativa; 2014. p. 313–334.
-
(2014)
, pp. 313-334
-
-
Tang, J.1
Alelyani, S.2
Liu, H.3
-
30
-
-
54549099006
-
Performance of feature-selection methods in the classification of high-dimension data
-
Hua, J., Tembe, W.D., Dougherty, E.R., Performance of feature-selection methods in the classification of high-dimension data. Pattern Recogn 42 (2009), 409–424.
-
(2009)
Pattern Recogn
, vol.42
, pp. 409-424
-
-
Hua, J.1
Tembe, W.D.2
Dougherty, E.R.3
-
31
-
-
34247622378
-
Iterative RELIEF for feature weighting: algorithms, theories, and applications
-
Sun, Y., Iterative RELIEF for feature weighting: algorithms, theories, and applications. IEEE Trans Pattern Anal Mach Intell 29 (2007), 1035–1051.
-
(2007)
IEEE Trans Pattern Anal Mach Intell
, vol.29
, pp. 1035-1051
-
-
Sun, Y.1
-
32
-
-
85076863859
-
-
Introduction to Data Mining, 1st ed. Addison-Wesley Longman Publishing Co., Inc.;.
-
Tan PN, Steinbach M, Kumar V. Introduction to Data Mining, 1st ed. Addison-Wesley Longman Publishing Co., Inc.; 2005.
-
(2005)
-
-
Tan, P.N.1
Steinbach, M.2
Kumar, V.3
-
33
-
-
0003500248
-
C4.5: programs for machine learning
-
Morgan Kaufmann Publishers Inc.
-
Quinlan, J.R., C4.5: programs for machine learning. 1992, Morgan Kaufmann Publishers Inc.
-
(1992)
-
-
Quinlan, J.R.1
-
34
-
-
85010288286
-
Comparative Analysis of Decision Tree Algorithms: ID3, C4.5 and Random Forest
-
Springer India
-
Sathyadevan, S., Nair, R.R., Comparative Analysis of Decision Tree Algorithms: ID3, C4.5 and Random Forest. 2015, Springer, India.
-
(2015)
-
-
Sathyadevan, S.1
Nair, R.R.2
|