SOURCE-LINKED INTELLIGENCE
AI4Power: Artificial Intelligence for low carbon Power systems
AI4Power: Artificial Intelligence for low carbon Power systems Pressing concerns about climate change impose ambitious targets for energy system decarbonization based on high penetration of renewable energy sources (RES). The energy transition reshapes existing systems, creating both challenges and opportunities, mainly in situational awareness, operational planning and control and power system stability. Artificial intelligence (AI) and Generative AI (GenAI) are set to transform power system and smart grid operation by processing large datasets, optimising complex functions and enabling new capabilities. However, despite promising AI and machine-learning (ML) solutions demonstrated in literature and pilots, their potential remains underused due to planners’ and operators’ reluctance to adopt methods they cannot fully understand or trust. Trust, explainability and adaptability thus remain key for
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4611478.68
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.