IAI 01-19 Master Thesis: A Generic Microservice-based Framework for Scheduling of Distributed Energy Resources Using Population-based Metaheuristics
In this thesis, a new concept to schedule DERs based on forecasting and the results of related simulators will be developed. The framework introduced in  will be adapted to carry out the equired tasks based on two cutting-edge technologies, namely containers and microservices. The EA GLEAM (General Learning Evolutionary Algorithm and Method)  will be used to obtain the desired results.
Student of computer science, electrical engineering or related disciplines
Institute for Automation and Applied Informatics (IAI)
as soon as possible
limited to 3-6 months.
Hatem Khalloof, M.Sc.
Phone: 0721 / 608 24123
Please apply online using the button below for this vacancy number IAI 01-19.
Personnel Support is provided by
Telefon: +49 721 608-25184,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
If qualified, severely disabled persons will be preferred.