INVESTIGACIÓN Y TECNOLOGÍA ELÉCTRICA
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Northumbria University
Newcastle-upon-Tyne, Reino UnidoPublicaciones en colaboración con investigadores/as de Northumbria University (6)
2023
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A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots
Energy, Vol. 263
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An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster
Applied Energy, Vol. 333
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An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination
Applied Energy, Vol. 341
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Information Gap Decision Theory-based day-ahead scheduling of energy communities with collective hydrogen chain
International Journal of Hydrogen Energy, Vol. 48, Núm. 20, pp. 7154-7169
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Optimal participation of prosumers in energy communities through a novel stochastic-robust day-ahead scheduling model
International Journal of Electrical Power and Energy Systems, Vol. 147