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2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016(1)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)(1)
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Lecture Notes in Electrical Engineering(1)
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scopus(5)
Mechanical Stress in Power Transformer Winding Conductors: A Support Vector Regression Approach
Conference ObjectAbstract: A support vector regression model to determine the mechanical stress in winding conductors of a powePalabras claves:Electromagnetic forces, Finite Element Method, Mechanical stress, Power transformers, Support Vector RegressionAutores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopusLoad model development for next generation appliances
Conference ObjectAbstract: Substantial changes in the nature of the loads have occurred recently with the development of the nePalabras claves:Constant Impedance-Current-Power load model, Load modeling, power system modeling, Steady-state load model, ZIP load modelAutores:Franklin L. Quilumba, Huang H., Lee W.J., Szabados R., Wang D.Y.Fuentes:scopusTuning of power system stabilizers - An ecuadorian case study
Conference ObjectAbstract: Proper tuning of power system stabilizers (PSS) improves the damping of electromechanical oscillatioPalabras claves:Mean-Variance Mapping Optimization (MVMO), Power System Stabilizer (PSS), PSS Tuning, Single-Machine Infinite-Bus (SMIB), Stability studiesAutores:Franklin L. Quilumba, Hugo N. Arcos, Jaime Cristóbal CepedaFuentes:scopusShort-term active power forecasting of a photovoltaic power plant using an artificial neural network
Conference ObjectAbstract: The increasing use of solar energy as a renewable source for electricity generation through photovolPalabras claves:Artificial neural network-based forecasting, Data Mining, PV power forecastingAutores:Andres F. Romero, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopusPbkp_rediction of stress in power transformer winding conductors using artificial neural networks: Hyperparameter analysis
ArticleAbstract: The purpose of this research is the evaluation of artificial neural network models in the pbkp_redicPalabras claves:artificial neural networks, deep learning, Electromagnetic forces, Finite Element Method, Power transformers, StressAutores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopus