The PLATOON project pretends to deploy distributed/edge processing and data analytics technologies for optimized real-time energy system management in a simple way for the energy domain expert. The data governance among the different stakeholders for multi-party data exchange, coordination and cooperation in the energy value chain is guaranteed through IDS based connectors.
On Thursday, September 29, 2022, Ms. Marija Kujačić and Ms. Aleksandra Perović (representatives of the IT and eGovernment office of the Republic of Serbia) and Mr. Isaac Kim (representatives of the Korean Information Society Agency) visited the Institute Mihajlo Pupin (IMP) with the objectives to raise discussion on the utilization of IMP innovative services in the forthcoming Government Energy Saving Action Plan for the period from 2023 to 2025.
The SINERGY team (Mr. Marko Batić, Mr. Nikola Tomašević and Ms. Valentina Janev) presented results from recent EU projects.
The 3rd SINERGY Ph.D. Workshop was organized at the IMP premises on the 15th of November 2022.
It is our pleasure to announce the online training prepared by the AIT team:
that will take time on 13th of December 2022.
It is our pleasure to announce the onsite visit and training prepared by AIT team
It is our pleasure to announce the online training and hands-on event prepared by NUIG team:
It is our great pleasure to announce the SINERGY Open event on "Smart and Innovative eNERGY management", collocated with the TELFOR'22 Conference, Crowne Plaza, on 16th of November, from 9am to 1pm.
It is our pleasure to announce that Dr. Valentina Janev will participate in a Panel Discussion on Data ecosystems, as part of the forthcoming First International Workshop on Data Ecosystems in conjunction with 48th International Conference on Very Large Data Bases (VLDB) Conferences 2022, Sydney, Australia (and hybrid) - September 05-09, 2022.
REACT (Renewable Energy for self-sustAinable island CommuniTies) is a 4-year research project funded by the EU's Horizon 2020 programme.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952140.
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