| Project Detail |
Age of Information metric in smart grid networks
The novel Age of Information (Aol) metric is a valuable tool for measuring performance. It offers a new perspective on how systems should collect and process information. However, its practical value and impact in real time are still not clearly understood. The EU-funded TimeSmart project will investigate the applicability of the Aol metric in smart grid networks by applying it to a system in which the timing of collected data, currently measured through jitter or latency, profoundly impacts management and control. The project proposes a new approach offering an innovative way of improving the efficiency of renewable electrical energy supply and electrical loads by exploiting the available edge infrastructure.
TimeSmart project will investigate the applicability of the novel Age of Information metric in smart grid networks. While the metric has become a valuable tool for measuring the systems performance, its practical value and impact in the real-time system are left unanswered. This project seeks to remedy that by applying the metric to a system in which the timing of collected data, currently measured through jitter or latency, profoundly impacts management and control. The AoI offers a new perspective on how the system should collect and process information, as such decisions are also based on the context of processed information(their semantic nature). In turn, the new approach can offer an innovative way of improving the efficiency of renewable electrical energy supply and electrical loads by taking advantage of the available edge infrastructure. This project aims to adopt the AoI metric in smart grid networks to improve the energy transmission efficiency, achievable through more timely collected information, to save energy.
The proposed research will be conducted by dr. Jernej Hribar and supervised by prof. Mihael Mohorcic, and dr. Carolina Fortuna from Institut Jožef Stefan. The applicant will also undertake a non-academic placement at ComSensus under the supervision of dr. Andrej Campa. |
