Abstract

The Big Data framework of modern smart energy networks provides an ideal ecosystem for knowledge exploitation from data. The main objective of H2020 project PLATOON (Digital PLAtform and analytic TOOls for eNergy) is 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. To achieve this goal, PLATOON will develop and use the PLATOON COSMAG-compliant reference architecture for building and deploying scalable and replicable energy management solutions that contribute to increased renewable energy consumption, smart grids management, increased energy efficiency and optimised energy asset management. The set of tools that will be delivered in PLATOON project will enable the evolution from a classical centralised energy sector to a more distributed one, with intermittent renewable energy sources and new extended digital capabilities. While contributing to artificial intelligence, interoperability, data privacy and security, PLATOON adheres to the standards of the International Data Spaces Association (IDSA), aiming thus to realise the first IDS-compliant Data Marketplace for the Energy sector. PLATOON solutions build upon the existing European standards and initiatives for data management including semantic models, interfaces, governance and sovereignty. The project will reinforce the European efforts for modernisation of the European electricity grid, because it focuses the attention to new smart grids services through data knowledge exploitation. Finally, the project will offer access to cheaper and sustainable energy for energy consumers and maximise social welfare.
PLATOON innovative services will be demonstrated in 5 countries (France, Spain, Italy, Belgium and Serbia), where the Serbian pilot focuses on analytical services for electricity balance and predictive maintenance.

Authors

Dr. Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia and Associated professor at the Belgrade Metropolitan University. She worked as a Researcher Assistant at the Institute Jozef Štefan, Ljubljana, Slovenia, Guest Researcher at the Technical University of Vienna, Austria and Consultant and Education Manager at SAS Institute. Her current research interest includes artificial intelligence, big data analytics, semantic technologies, management of critical infrastructures, open data innovations and statistical data processing. She currently coordinates the H2020 project LAMBDA (Learning, Applying, Multiplying Big Data Analytics), leads the implementation of the Analytic tools for Smart grid management in PLATOON, as well as the implementation of the Serbian Pilot (Analytical services for electricity balance and predictive maintenance).

Dr. Philippe Calvez is Head of the Computer Science and Artificial IntelligenceS department at ENGIE Lab CRIGEN and PLATOON Project Coordinator.