Perfilado de sección

    • Grupos armados:

      1. Gianina Giacosa y Rodrigo Lagreca: Machine Learning Algorithms for Photovoltaic System Power Output Prediction.
      2. Federico Lurner, Sofía Aparicio y Nicolás Morales: Residential battery storage sizing based on daily PV production and consumption load profile characterization.
      3. Juan Rodríguez y José Luis Dí Laccio: Energy Class Dependent Residential Battery Storage Sizing for PV Systems in Cyprus.
      4. Ignacio Lussich y Fabian Larrosa: Quantifying distribution-system operators economic incentives to promote residencial demand response.
      5. Rafael Bruno y Pedro Ulloa: Near real time load shifting control for residential electricity prosumers under designed and market indexed pricing models.
      6. Paulo Freitas y Juan Silvera: Modeling storage and demand management in power distribution grids.
      7. Alejandro Gigena y Guillermo Flieller: Development of a novel time-of-use tariff algorithm for residential prosumer price-based. demand side management.
      8. José Fandiño y Damián Catardo: Battery capacity determination with respect to optimized energy dispatch schedule in grid-connected photovoltaic (PV) systems.
      9. Franco Marchesoni y Daniel Aicardi: Photovoltaic Plants Predictive Model by means of ANN trained by a Hybrid Evolutionary Algorithm.
      10. Julián Viera, Marcelo Rey y Sebastián Alpuy: Improving the benefits of demand response participation in facilitie with distributed energy resources.