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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)
2022 IEEE Global Conference on Computing, Power and Communication Technologies, GlobConPT 2022(1)
Energies(1)
Lecture Notes in Electrical Engineering(1)
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Física aplicada(5)
Ciencias de la computación(1)
Economía de la tierra y la energía(1)
Otras ramas de la ingeniería(1)
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:scopusMinimization of Active Power Losses in a Multi-Terminal HVDC Grid: Alternative Approach Using Meta-Heuristics Algorithms
Conference ObjectAbstract: Efficiency improvements in direct current electric power transmission systems have become a significPalabras claves:Active Power Losses, Meta-heuristics algorithms, MT-HVDC grids, Voltage ControlAutores:Alex Valenzuela, Carlos Barrera-Singaña, Hugo N. Arcos, Porras-Ortiz A.F., Wilson David Pavon Vallejos, Wilson PavónFuentes:googlescopusTuning 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