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Open Master Thesis related to DiversIoT
- Wireless control systems for home appliances to support the energy transition (6/7) (Supervisor(s): Josef Noll, György Kálmán,
Objective: Future Homes have the opportunity to be adaptive to the quality of the electricity grid. By monitoring the energy consumption on fuse-level every 10 seconds, one can generate energy profiles of private homes. Current regulations suggest a reading of power values 1/hour, or in maximum every 15 min. Given a high-frequency reading of power consumption (1/10s, 1/min) might give an opportunity to introduce new services. Given the size of the work, several theses can be performed on the topic: # Establish the low-power monitoring infrastructure in the home (Raspberry Pi/Arduino and ModBus to read from Power Taggs) # Create the public source database for energy consumption, combining high-resolution energy data with 3rd party information such as weather data # Establish the AI infrastructure for analysis of the electricity data # Monitoring the home energy distribution - Feature extraction through AI # Potential of contributions from private homes to energy stability # Wireless control systems for home appliances to support the energy transition # Security and privacy assessment of wireless in-house control systems for energy appliances The assessment will be based on high-frequency consumption data from actual smart meters and power taggs by fuse level, as well as modelling of services.)
