This track focuses on the integration of artificial intelligence in energy management systems to enhance efficiency and decision-making. Papers should explore innovative AI methodologies that optimize energy consumption and resource allocation.

This session aims to discuss the role of Internet of Things technologies in developing smart energy systems. Contributions should highlight real-world applications and case studies demonstrating the impact of IoT on energy efficiency and management.

This track invites research on predictive maintenance strategies utilizing AI and IoT to improve the reliability of energy infrastructure. Papers should present methodologies that reduce downtime and maintenance costs through data analytics.

This session will explore innovative approaches for integrating renewable energy sources into existing energy systems. Submissions should address challenges and solutions related to grid stability, storage, and resource management.

This track focuses on advanced control systems designed for smart grid applications. Papers should discuss novel algorithms and frameworks that enhance the operational efficiency and resilience of smart grids.

This session aims to present data-driven methodologies for optimizing energy usage across various sectors. Contributions should include case studies and theoretical frameworks that demonstrate the effectiveness of these solutions.