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2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016(1)
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)(1)
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IEEE Transactions on Industry Applications(1)
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scopus(5)
Comparison of Machine Learning Algorithms for the Pbkp_rediction of Mechanical Stress in Three-Phase Power Transformer Winding Conductors
ArticleAbstract: This research compares four machine learning techniques: linear regression, support vector regressioPalabras claves:Autores:Fausto Valencia, Franklin L. Quilumba, Hugo N. ArcosFuentes:scopusCustomers' demand clustering analysis - A case study using smart meter data
Conference ObjectAbstract: With the addition of smart measurement devices to the electrical distribution system, it is possiblePalabras claves:Clustering analysis, Data Mining, K-Means, Load profiles, Smart MetersAutores:Franklin L. Quilumba, Hugo N. Arcos, Juan E. ParraFuentes: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:scopusLoad models for flat-panel TVs
ArticleAbstract: A realistic representation of power system loads has proven to be essential for ensuring reliable anPalabras claves:Load components, Load modeling, power system modeling, static load model (SLM), ZIP load modelAutores:Franklin L. Quilumba, Jeśus A. Játiva-Ibarra, Lee W.J.Fuentes: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