Summary
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 system's 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 Mohorčič, 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 Čampa.
The proposed research will be conducted by dr. Jernej Hribar and supervised by prof. Mihael Mohorčič, 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 Čampa.
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| Web resources: | https://cordis.europa.eu/project/id/101063721 |
| Start date: | 01-10-2022 |
| End date: | 31-03-2025 |
| Total budget - Public funding: | - 194 449,00 Euro |
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Original description
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 system's 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 Mohorčič, 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 Čampa.
Status
SIGNEDCall topic
HORIZON-MSCA-2021-PF-01-01Update Date
09-02-2023
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