TRACK #2: AI Applications to Energy and Transportation Systems

CHAIRS

Ljiljana Trajkovic, Abdallah Kouzou, Samuele Grillo

Description

This track explores the application of AI in optimizing energy consumption and improving transportation systems. It aims to enhance efficiency, reduce costs, and promote sustainability across these critical sectors.

Key Areas of Interest (not limited to):

• Predictive Maintenance: AI techniques for forecasting equipment failures in energy and transport infrastructure;
• Smart Grid Management: Leveraging AI for real-time monitoring and optimization of energy distribution;
• Traffic Flow Optimization: AI-based solutions for managing congestion, improving public transport efficiency, and enhancing road safety;
• Electric Vehicle Integration: Strategies for incorporating electric vehicles into existing transportation networks, including charging infrastructure and grid impact;
• Sustainable Transportation Planning: Development of AI-driven models for urban mobility that prioritize environmental sustainability;