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2011 IEEE PES Conference on Innovative Smart Grid Technologies Latin America SGT LA 2011 - Conference Proceedings(1)
2012 IEEE Congress on Evolutionary Computation, CEC 2012(1)
2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings(1)
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016(1)
2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017(1)
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Big Data Platform for Real-Time Oscillatory Stability Predictive Assessment Using Recurrent Neural Networks and WAProtector's Records
Conference ObjectAbstract: After a perturbation, the generators shift their operating condition in search of new equilibrium stPalabras claves:Modal Estimation, Oscillatory stability, phasor measurement unit, Recurrent neural networks, Wide Area Monitoring SystemAutores:Calero F., Gomez I., Jaime Cepeda, Jaime Cristóbal Cepeda, Vaca A.Fuentes:googlescopusCritical machine identification for power systems transient stability problems using data mining
Conference ObjectAbstract: This paper presents a new methodology based on data mining to identify the cluster of critical machiPalabras claves:Critical machines, Data Mining, phasor measurement unit, Transient StabilityAutores:Colomé D.G., Echeverría D.E.J., Jaime Cepeda, Jaime Cristóbal CepedaFuentes:googlescopusDynamic vulnerability assessment due to transient instability based on data mining analysis for Smart Grid applications
Conference ObjectAbstract: In recent years, some Smart Grid applications have been designed in order to perform timely Self-HeaPalabras claves:Data Mining, MSSA, pattern recognition, Phasor measurement units, security, smart grids, SVM, Transient Stability, vulnerability assessmentAutores:Castrillón N.J., Colomé D.G., Jaime Cepeda, Jaime Cristóbal CepedaFuentes:googlescopusHeuristic optimization based approach for identification of power system dynamic equivalents
ArticleAbstract: This paper introduces an approach for identification of dynamic equivalent parameters from measuredPalabras claves:Dynamic equivalent, Heuristic optimization, mean-variance mapping optimization, power system dynamic performance, power system modelingAutores:Arguello G.A., Echeverría D.E.J., Erlich I., Jaime Cepeda, Jaime Cristóbal Cepeda, Rueda J.L.Fuentes:googlescopusFeature extraction from sEMG of forearm muscles, performance analysis of neural networks and support vector machines for movement classification
Conference ObjectAbstract: The propose of this work is to extract different features from surface EMG signals of forearm musclePalabras claves:EMG signals, Feature Extraction, Feedforward neural networks, pattern recognition, SUPPORT VECTOR MACHINESAutores:Jaime Cristóbal Cepeda, Luis Morales MoralesFuentes:scopusIdentification of dynamic equivalents based on heuristic optimization for smart grid applications
Conference ObjectAbstract: Vulnerability assessment is one of the main tasks in a Self-Healing Grid structure, since it has thePalabras claves:Dynamic equivalent, Heuristic optimization, mean-variance mapping optimization, smart Grid, vulnerabilityAutores:Erlich I., Jaime Cepeda, Jaime Cristóbal Cepeda, Rueda J.L.Fuentes:googlescopusReal-Time transient stability assessment of electric power systems using predictive-sime based on machine learning
Conference ObjectAbstract: This paper presents a novel methodology based on machine learning for assessing the power system traPalabras claves:Machine learning, Monte Carlo, SIME, Support Vector Machine, Transient Stability.Autores:Echeverría D.E.J., Graciela Colome D., Jaime Cristóbal CepedaFuentes:scopusProbabilistic-based overload estimation for real-time smart grid vulnerability assessment
Conference ObjectAbstract: In recent years, important efforts to improve monitoring, protection and control of power systems haPalabras claves:Monte Carlo, overload, Principal Component Analysis, security, smart Grid, Support Vector Machine, vulnerability assessmentAutores:Colomé D.G., Jaime Cepeda, Jaime Cristóbal Cepeda, Ramírez D.O.Fuentes:googlescopusLong-term voltage stability monitoring of power system areas using a kernel extreme learning machine approach
ArticleAbstract: The ever increasing active and reactive power demands, along with limited sources of generation andPalabras claves:Angle cut-set, Kernel extreme learning machine (KELM), Long-term voltage stability monitoring, Near real-time monitoring, Voltage control areaAutores:Colomé D.G., Jaime Cepeda, Jaime Cristóbal Cepeda, López-Lezama J.M., Villa-Acevedo W.M.Fuentes:googlescopusPower system transient stability prediction using machine learning
Conference ObjectAbstract:Palabras claves:Autores:Echeverria Jurado D.E., Graciela Colome D., Jaime Cristóbal CepedaFuentes:scopus