Smart energy systems (Smart grids) – Energy management systems ICT technologies
Mentor: Silvia Jiménez Fernández
Phone: (+34) 918856648
University: Universidad de Alcalá
Partner Host Institution: ATOS
Keywords: Evolutionary computing; novel soft-computing techniques; Renewable energy applications; MicroGrids

Smart energy systems (Smart grids) – Energy management systems ICT technologies

One significant line of research of the group focuses on micro-grid (MG) design and optimization problems in smart grids using meta-heuristics and Machine Learning approaches. We are also interested in the application of novel soft computing techniques to smart grids challenges, such as renewable energy systems, batteries’ scheduling, electric vehicles, and other related problems.

Departament: Signal Theory and Communications
Research Group: GHEODE
More Information:
Relevants projects on the area: New hybrid algorithms of natural inspiration for problems of ordinal classification and prediction.
Relevants publications on the area: 1.- Mallol-Poyato, R., Jiménez-Fernández, S., Díaz-Villar, P. and Salcedo-Sanz, S., ``Adaptive nesting of evolutionary algorithms for the optimization of Microgrid's sizing and operation scheduling'', Soft Computing, vol.21 (17), pp. 4845-4857, 2017. JCR (2016): 2.472, T1
2.- Salcedo-Sanz, S., Camacho-Gómez, C., Mallol-Poyato, R., Jiménez-Fernández, S. and del Ser, J., ``A novel Coral Reefs Optimization algorithm with substrate layers for optimal battery scheduling optimization in micro-grids'', Soft Computing, vol. 20, pp. 4287-4300, 2016. (JCR: 2.472, T1)