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It proposes a new data- and knowledge-driven approach for management and processing. This approach aims to extend the analytics services portfolio of various energy stakeholders and achieve two-way flows of electricity and information for optimised generation, distribution, and electricity consumption.
The approach is based on semantic technologies to create knowledge-based systems that will aid machines in integrating and processing resources contextually and intelligently. Thus, a paradigm shift in the energy data value chain is proposed towards transparency and the responsible management of data and knowledge exchanged by the various stakeholders of an energy data space. The approach can contribute to innovative energy management and the adoption of new business models in future energy data spaces.
PLATOON has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 872592. Any dissemination of results here presented reflects only the consortium view. The Commission is not responsible for any use that may be made of the information it contains.

PLATOON
This paper was co-funded by the EU H2020 funded project PLATOON (GA No. 872592). PLATOON project provides new approaches and analytics tools for Energy Big Data, thus supporting the zero-carbon transition and developing new services in the energy domain.
