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Methodology 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:googlescopusModel for the Forecast of the purchase of energy in a Utility through artificial neural networks with penetration of renewable energies
Conference ObjectAbstract: Research develops a planning model to carry out the prognosis of energy purchase that the distributiPalabras claves:artificial neural networks, Demand, forecasting, planning, RENEWABLE ENERGY, Short -Medium TermAutores:Alvarez-Bel C., Jordy A. Pintado, Miguel A. Figueroa, Toledo M.A., W. A. QuizhpiFuentes:scopus