AI-driven forecasting algorithms for Grid and Consumer friendly Energy Sharing – Societal Readiness pilot
Funds AI-driven forecasting tools that help energy communities and consumers share power while easing the burden on grid operators.
This Innovation Action is evaluated in a single-stage round and paid as a fixed lump sum. The Commission expects to fund two projects from a topic budget of EUR 12,000,000, each carrying an EU contribution of EUR 6,000,000. The China-control exclusion here sits under a named EU policy category — 'restriction on control in innovation actions in critical technology areas' — rather than being a one-o…
Proposals must develop and test AI and machine-learning forecasting tools that optimise bidirectional, collective self-consumption and flexibility services for energy communities and jointly acting consumers, while easing the load on distribution system operators and improving grid and distributed-asset operation and maintenance. As a Societal Readiness pilot, work must use an interdisciplinary approach — with social sciences and humanities experts helping shape the project's objectives, not just advise afterward — to understand the needs and concerns of the different social groups affected by the technology, including game-theoretic analysis of social interactions. Selected projects must actively participate in the BRIDGE initiative's own activities, not just reference it.
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