Detail of the student project

Topic:Blackbox model of energy consumption and perceived comfort in heating of building
Department:Katedra kybernetiky
Supervisor:Ing. Martin Macaš Ph.D.
Announce as:DP,BP
Examiner:Pavel Vrba
Description:You will obtain a data describing inputs (weather, set points for temperatures, occupancy, etc.) and outputs (total consumption, discomfort measure). And the task is to create and properly validate a model of the data based for example on artificial neural networks, regression.
Instruction:1. explore the data sets
2. find state of the art solutions
3. create the model
4. validate the model properly
Bibliography:A recent literature will be provided by the supervisor.
Realization form:Matlab, Java
Responsible person: Petr Pošík