AI4POWER - AI4Power: Artificial Intelligence for low carbon Power systems
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Abstract
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.
People involved
- Gianfranco Chicco (Principal Investigator)
- Andrea Mazza (Component of the research team)
Structures
Partners
- NATIONAL TECHNICAL UNIVERSITY OF ATHENS - Coordinator
- POLITECNICO DI TORINO - AMMINISTRAZIONE CENTRALE
Keywords
Sustainable Development Goals
Budget
| Total cost: | € 4,611,478.68 |
|---|---|
| Total contribution: | € 4,611,478.68 |
| PoliTo total cost: | € 563,510.16 |
| PoliTo contribution: | € 563,510.16 |