Interim results in smart ICT research
Different data collection intervals were initially tested to ensure the quality of the data. The data provided by the building was evaluated using specially designed algorithms, which were also used to identify interdependencies.
We have succeeded in optimising the investment and operating costs of the ICT landscape by testing different data resolutions to find out how much data is really needed for what period of time.
The ICT testbed at aspern Seestadt also provided valid empirical data for the smart meter rollout, which commenced in 2018.
Applications and services
The integration and exchange of data from different sources are the basis for the development of key applications and services for the various stakeholders. The system supports reporting, simulation and comparative analysis of buildings and parts of buildings and the grid to evaluate optimisation measures in both operation and equipment.
In operational grid planning, newly developed applications support the detection of anomalies and threshold breaches in the low voltage grid. In addition, digital modelling can be used to simulate suitable measures.
Load forecasts can be generated on the basis of historical information and external factors such as weather or events (public holidays, for example) using intelligent machine learning technology. Residents can use home automation to operate the controls themselves, thereby saving energy and enhancing their personal comfort.