Electric Fleet with On-site Renewable Energy Sources (EFORES)
The EFORES project investigates optimal dispatching and charging management of electric fleets to improve the efficient use and self-consumption of highly variable onsite renewable energy sources.
This is one of seven new EPSRC projects sponsored by the Engineering and Physical Sciences Research Council (EPSRC) and Siemens to explores how digital technologies and innovation can reduce energy demand and carbon production. For more details, please click here EFORES project.
About us
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4The Networked Control and Intelligent Scheduling Lab (netCiS-Lab) led by Dr. Xuewu Dai is part of the Department of Physics and Electrical Engineering, Northumbria University. We are a diverse group of researchers with various expertises, including control and optimisation, electrical engineering, computer science and economic geography. Of particular interest in our research are
1. Wireless networked control systems: robust state estimation and condition monitoring (e.g. gas turbine engines);
2. Time Sensitive Industrial Interent of Things (TS-IIoT): sub-microsecond GPS-free precise time synchronizaiton, and coordinated control of mobile autonomous robots (AMRs) for low-carbon manufacturing;
3. Machine Learning and Aritifical Intelligence for Transport-Energy Systems (AI4TES): Co-design of intelligent scheduling and neteworked control for Electric Vehicle Fleets, train control and scheduling under disruptions due to extreme weather.
PhD Students
Scholarships are available for outstanding candidates. We also have places for self-funded PhD students or visiting students. Please have a look at my research interests, recent projects and publications. If your are interested in any of those, email me a CV and a short text describing your background. I am also open-minded and if you have a great idea you would like to explore, just get in touch!.