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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., Bel C.A., Diego Morales-Jadan, Eddy Bravo-Padilla, Luis Gonzalez-Morales, 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, Bel C.A., C. Celi, Carmen J. 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., Bel C.A., Diego Morales-Jadan, Hernán Quito, Luis Martinez, Marco Toledo-Orozco, W. A. QuizhpiFuentes:googlescopusMethodological Validation of Machine Learning Models for Non-Technical Loss Detection in Electric Power Systems: A Case Study in an Ecuadorian Electricity Distributor
ArticleAbstract: Detecting fraudulent behaviors in electricity consumption is a significant challenge for electric utPalabras claves:data analytics, energy measurement, Machine Learning, non-technical electrical losses, UtilityAutores:Carlos Arias-Marin, Edgar Antonio Barragán-Escandón PhD., Marco Toledo-Orozco, Xavier Serrano-GuerreroFuentes:scopusA survey based on the state of the art and perspectives in the monitoring and the control of LV networks
OtherAbstract: Low Voltage (LV) distribution systems operation is evolving considerably with the emergence of new tPalabras claves:control, LV DISTRIBUTION SYSTEM, Monitoring, Operation, smart grids, smart meters, SurveyAutores:Alireza Fereidunian, André G. Madureira, Christophe Aubigny, Danijel Davidović, Diego Morales-Jadan, Jakub Martínek, Jiri Drapela, Jorge M.G.M. Santos, Marco Toledo-Orozco, Marie Cécile Alvarez-Herault, Marina Grujic Milosevic, Markel Sanz, Tsugihiko Masaki, Xu BingyinFuentes:scopusMethodological Planning to Determine the Technological Expansion of Smart Metering Systems for Utilities
ArticleAbstract: This research uses data analysis and mining techniques to determine the technological expansion of mPalabras claves:advance metering infrastructure, Distribution Systems, fuzzy logic, Measurement systems, PlanningAutores:Bel C.A., Diego Morales-Jadan, Marco Toledo-Orozco, Sebastián Arévalo LozadoFuentes:scopus