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IEEE Transactions on Smart Grid(1)
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scopus(3)
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:scopusMechanical 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:scopusUsing smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities
ArticleAbstract: With the deployment of advanced metering infrastructure (AMI), an avalanche of new energy-use informPalabras claves:advanced metering infrastructure (AMI), k-means clustering, load forecasting, load patterns, Load profiles, neural network-based load forecasting, Smart MetersAutores:Franklin L. Quilumba, Huang H., Lee W.J., Szabados R., Wang D.Y.Fuentes:scopus