Objective The EU has set aggressive energy targets that will drive a significant increase in the use of renewable energy sources introducing large uncertainties in the power generation as well as the uptake of plug-in hybrid electric vehicles (PHEVs), offering a new source for balancing the power grid by providing large scale distributed storage capacity. The COGENT project will develop theoretical frameworks and practical tools for applying control and optimization to the energy management of PHEVs that are active participants in the Smart Grid in an interrelated way. Innovative control strategies are required that utilize variable loads and storages to ensure optimal performance and safety of the Smart Grid based on large amounts of data. The proposed project will address this problem by developing novel and sophisticated control and machine learning techniques, that are well suited for the increasingly complex, uncertain, high-speed and distributed characteristics of the Smart Grid. The success of this challenging and highly interdisciplinary program will be enabled by the collaboration with the host institutions, the Control, Intelligent Systems and Robotics group at UC Berkeley, a center of excellence in control and the Max-Planck-Institute for Intelligent Systems, a research group world famous for its work on machine learning. The fellow researcher provides an excellent background for the proposed project, which will be supported by the outstanding expertise of the host institutions, together providing the comprehensive knowledge required for the scientific and technological goals of the program. In addition to the development of high-quality and cutting edge research, the aim of this project is to promote the young outgoing researcher by boosting her skills, expertise and international network. The project will thereby equip the researcher with essential competences and prerequisites for an academic career in Europe and for contributing to European research excellence. Fields of science engineering and technologyenvironmental engineeringenergy and fuelsrenewable energysocial sciencessocial geographytransportelectric vehiclesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power transmissionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2011-IOF - Marie Curie Action: "International Outgoing Fellowships for Career Development" Call for proposal FP7-PEOPLE-2011-IOF See other projects for this call Funding Scheme MC-IOF - International Outgoing Fellowships (IOF) Coordinator MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV EU contribution € 255 453,00 Address HOFGARTENSTRASSE 8 80539 Munchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Research Organisations Administrative Contact Richard Segar (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data