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AI4Power: Artificial Intelligence for low carbon Power systems

Objective

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 AI uptake in this conservative sector.

AI4Power aims to deliver innovative AI-based solutions for critical areas of system operation and control, demonstrating trustworthiness, explainability, and adaptability and creating a model for wider AI adoption in power system applications. A further barrier to integrating AI and GenAI is the limited expertise across both AI and energy domains. AI4Power will address this by developing advanced, complementary research skills through a coordinated doctoral training programme, preparing a new generation of researchers skilled in AI technologies and their application in energy systems.

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Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-DN-01

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Coordinator

ETHNICON METSOVION POLYTECHNION
Net EU contribution
€ 538 968,96
Address
HEROON POLYTECHNIOU 9 ZOGRAPHOU CAMPUS
157 72 ATHINA
Greece
Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Participants (8)

Partners (14)