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Innovative methodology to identify errors in electric energy measurement systems in power utilities
ArticleAbstract: Many electric utilities currently have a low level of smart meter implementation on traditional distPalabras claves:Artificial Intelligence, Consumption patterns, data analytics, Electrical energy losses, Machine learning, outlier detectionAutores:Bel C.A., Carlos Arias-Marin, Diego Morales-Jadan, Eddy Bravo-Padilla, Marco Toledo-Orozco, Rodriguez-Garcia J.Fuentes:googlescopusMethodology for the disaggregation and forecast of demand flexibility in large consumers with the application of non-intrusive load monitoring techniques
ArticleAbstract: Technological advances, innovation and the new industry 4.0 paradigm guide Distribution System OperaPalabras claves:BIG DATA, Combinatorial optimization, Factorial hidden Markov model, Machine learning, Non-intrusive load monitoring, Time of use tariffsAutores:Alvarez-Bel C., Arturo Geovanny Peralta Sevilla, C. Celi, Diego Morales-Jadan, F. Guartan, Marco Toledo-OrozcoFuentes:scopus