PLATOON – Digital PLAtform and analytical TOOls for eNergy
The digitalization of the energy sector enables higher levels of operational excellence with the adoption of disrupting technologies. The Energy Big Data framework of the modern smart energy networks provides an ideal ecosystem for knowledge exploitation from data. PLATOON 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 will be guaranteed through IDS based connectors. The project will develop and use the PLATOON reference architecture, COSMAG-compliant, 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 PLATOON architecture and components are valuable for the different stakeholders of energy sector value chain, starting from electricity supplier, passing through the distributor, the aggregator, the ESCo until the End User. the project will be validated in 7 pilots of 4 countries that provide real Energy Big Data cases. It proposes to build the solution based on existing European standards and initiatives for managing the pilots’ data, for the access, models, interfaces, governance and sovereignty. It also foresees to report back the results to the different standardization working groups. PLATOON will facilitate the technology transfer into the market by a well established tendering process through Open Calls. 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.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 872592.