Researchers are invited to submit high-quality papers and surveys with focus on the most recent advances in Applications of Computational Intelligence in Emerging Electrical Systems. This Special Issue is focused on the use of computational intelligence tools (machine learning, deep learning, fuzzy systems, evolutionary computation, statistical signal processing, etc.), for the solution of different problems related to electrical systems. The scope of this special issue includes, but it is not limited to, the following topics: Smart Grids, Microgrids, and Virtual Power Plants;Distributed energy resources; Renewable energy sources; Electric vehicles; Optimization and control; Time series forecasting; Robotics; Development of public datasets; IoT devices; Energy management; Power system protection.
Manuscripts must be written in English and prepared according to the journal template available here: https://sbic.org.br/lnlm/instrucoes-para-autores/. The PDF version (10-15 pages for regular papers, and 15-20 pages for surveys) should be submitted to the guest editors by e-mail (lazzaretti@utfpr.edu.br and vhferreira@id.uff.br). Papers will be reviewed by the guest editors and external referees. Papers previously published in conferences can be submitted provided it is significantly increased in quality and experiments/results. In this case, authors should submit the original paper published along a letter explaining the improvements done in the version submitted to LNLM.