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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:googlescopusMethodological Evaluation to Integrate Charging Stations for Electric Vehicles in a Tram System Using OpenDSS—A Case Study in Ecuador
ArticleAbstract: The difficulties in transitioning to electric mobility in developing countries lie in the lack of chPalabras claves:charging station, DISTRIBUTION NETWORK, electric movility, Opendss, tramwayAutores:Alvarez-Bel C., Eddy Bravo-Padilla, Luiz G. González, Marco Toledo-Orozco, Morales-Jadan D.Fuentes:scopusMethodology 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:scopusMethodology to Determine the Management of Demand in Recharging Electric Vehicles in Vertically Integrated Markets Includes Photovoltaic Solar Generation
ArticleAbstract: The high penetration of photovoltaic solar generation and electric vehicles in developing countriesPalabras claves:demand management, Electric vehicles, Electricity market, Optimization, Photovoltaic solar energyAutores:Alvarez-Bel C., Diego Morales-Jadan, Hernán Quito, Luis Martínez, Marco Toledo-Orozco, W. A. QuizhpiFuentes:googlescopus