Workshop on AI for Energy and Intelligent Infrastructures (AI4Energy)

Scope

The energy sector is undergoing a profound digital transformation driven by decarbonization goals, increasing system complexity, and the integration of renewable resources. Artificial Intelligence (AI) is becoming a key enabler for forecasting, optimization, intelligent control, and decision-making in smart grids and critical infrastructures. This special session aims to bring together researchers and practitioners working on AI methodologies applied to energy systems and infrastructures. It seeks to foster interdisciplinary dialogue between experts in machine learning, optimization, control systems, and intelligent environments, promoting innovative approaches that bridge Ambient Intelligence technologies with real-world energy challenges. The session aligns with the ISAmI conference scope by emphasizing context-aware, adaptive, and intelligent systems that interact with complex physical environments such as energy networks and infrastructure systems. Submissions addressing theoretical advances, practical implementations, performance evaluation, and real-world case studies are especially encouraged.

Topics

Topics of interest include, but are not limited to:

Machine Learning and Deep Learning for energy demand and generation forecasting
Optimization and control of smart grids and microgrids
AI for renewable energy integration and grid stability
Multi-agent and autonomous systems for distributed energy management
Explainable and trustworthy AI in critical infrastructures
Physics-Informed Neural Networks for anomaly detection and predictive maintenance
Energy data analytics and big data integration
Decision-support systems for energy planning and operation
Human-in-the-loop and socio-technical approaches in energy AI