The mission of SINERGY is to strengthen the existing research capacity and further unlock the innovation potential of the Institute Mihajlo Pupin - IMP (Serbia) in one of the most important research areas of today – Smart Energy Management, turning it into a regional Centre of Excellence in the domain of smart energy management technologies.
The SINERGY Quality Control Plan (QCP) is established with the goal to ensure that the quality control and risk management requirements are planned appropriately. It defines the internal control procedures (specific for SINERGY, see Section 2), which are also in line with the quality management system adopted by the coordinating organization - the Institute Mihajlo Pupin (ISO 9001 certified).
SINERGY is carried out by IMP as project Coordinator with the assistance of its strategic partners, AIT and NUIG. The Project Work Plan (Deliverable 1.1, delivered at Month 3) is based on the Grant Agreement Annex 1, Part A (Section 1.3 Work plan Tables) and Part B (Section 3: Implementation). It describes the Management processes to be used in the project and serves a tool to assist the SINERGY Project Management Board (PMB) to arrange, manage implementation of, report on, and evaluate the project results.
This deliverable is a tool to assist the SINERGY Project Management Board to arrange, manage the implementation of, report on, and evaluate the project results.
After the successful organization of the first Belgrade Big Data Analytics Summer School in 2019 and the online summer school in 2020, the Institute Mihajlo Pupin organized the 3rd edition of the event from 15 to 17th of June 2021.
We're very pleased to announce that the SINERGY Kick-off meeting was held ONLINE on 14 January 2021. The meeting was opened by Dr. Nikola Tomašević followed by the introduction of the meeting participants. Prof. Sanja Vraneš, Institute’s General Director introduced the Coordinating organization with a special focus on previous and ongoing internationally funded research projects related to the energy domain.
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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