NOO TimeSmart: Timeliness of Information in Smart Grids Networks logo

NOO TimeSmart: Timeliness of Information in Smart Grids Networks

  • Grant: NOO, MN-0009
  • Duration: Apr 2025 — Jun 2026
  • Budget: 81.730,00 EUR

The MSCA PF project TimeSmart received further funding funded by ARIS through Načrt za okrevanje in odpornost (NOO) initiative (“krepitev mednarodne mobilnosti slovenskih raziskovalcev in raziskovalnih organizacij ter za spodbujanje mednarodne vpetosti slovenskih prijaviteljev” (sklop B)).

Scope of the Project

The NOO re-integration Timesmart project aims to advance the practical deployment, robustness, and scalability of the approaches developed in the MSCA PF TimeSmart project. Building on the foundations of timeliness-aware data processing, AoI-guided forecasting, and intelligent energy management, the project will further integrate these components into cohesive, operational frameworks suitable for real-world use. A central focus is to take advantage of cloud infrastructure, ensuring that timely information can be processed, exchanged, and acted upon efficiently across distributed energy systems. The project will also explore larger and more diverse smart-grid environments to assess how these methods scale, adapt to uncertainty, and interact with complex community-level dynamics. Particular emphasis is placed on advancing and deepening the role of the Age of Information (AoI) in smart grid decision-making, testing how AoI-driven insights can improve responsiveness, stability, and coordination across households, storage systems, and electric vehicles. Through these efforts, the project aims to bring the developed concepts closer to operational readiness and prepare the ground for future pilots and broader adoption.

The Project is Divided Into Three Work Packages (WPs):

WP1 Research Activities: covers the implementation of research activities on the topic of applying the Age of Information metric in future networks and the development of intelligent energy community management using a Multi-Agent Reinforcement Learning approach. The tasks within this work package include the analysis of the proposed solutions, the preparation of scientific publications, collaboration with research partners, and the strengthening of links with the national and international research environment.

WP2 Project Management: covers project management, coordination of project activities, and monitoring of progress against the defined objectives and timeline. It includes the preparation and maintenance of project documentation, administrative support for project implementation, and the preparation of interim and final reports for ARIS. This work package also ensures regular monitoring of the achieved results and coordination of further activities for the smooth implementation of the project.

WP3 Dissemination: covers the presentation of project results to the scientific community. It includes presenting results at conferences, workshops, and other events, as well as participation in national and international research networks. The purpose of this work package is to ensure the visibility of the project, promote knowledge transfer, and contribute to the further use of the project results.