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Published July 11, 2021 | Version v1
Conference paper Open

I-NERGY: Delivering the next-generation Artificial Intelligence services for the Energy Sector

  • 1. Decision Support Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Greece

Description

Artificial Intelligence (AI) is expected to radically reshape the energy sector value chain, by improving business processes performance, while increasing environmental sustainability and propagating high social value among citizens. Additionally, a vast amount of energy data is available, coming from several sources including smart grid sensors, simulators and open data sources. However, the energy sector is characterised by uncertain business cases, fragmented regulations, immaturity of standards and lack of high-end ICT workforce of EPES stakeholders. Additionally, the lack of interoperability across data stream providers, of energy data ownership and sharing, and of a holistic, safe and cooperative AI perspective amongst the EPES community actively hinder the effective integration of AI services in the sector. This publication presents the I-NERGY modular framework for supporting AIon-Demand in the energy sector by capitalising on state-of-the-art AI, including resources of the AI4EU platform, as well as IoT, data analytics, adaptive learning and digital twin technologies. The solution, developed within the EU funded I-NERGY project, will enable AIbased cross-sector multistakeholder analytics tools for integrated and optimised smart energy systems management, based on interoperable data exchange. The project will also manage Open Calls for the delivery of innovative AI-driven energy services through the provisioning of financial support to third parties.

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I-NERGY Abstract_EURO 2021.pdf

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Additional details

Funding

I-NERGY – Artificial Intelligence for Next Generation Energy 101016508
European Commission