This track focuses on the application of data analytics techniques to optimize energy systems. It aims to explore innovative methods for analyzing large datasets to enhance decision-making processes in energy management.

This session will address the challenges and solutions related to privacy in energy systems. Researchers are invited to present methodologies that ensure data privacy while maintaining system efficiency.

This track emphasizes the development of intelligent monitoring and control systems for transmission and distribution networks. Contributions should highlight advancements in real-time management and protection mechanisms.

This session aims to discuss real-time data analysis techniques that facilitate immediate decision-making in energy systems. Papers should focus on algorithms and frameworks that enhance responsiveness and operational efficiency.

This track explores the role of distributed computing in enhancing the performance of energy systems. Submissions should investigate novel architectures and applications that leverage distributed resources for energy management.

This session will focus on innovative visualization techniques that aid in the interpretation of complex energy data. Contributions should demonstrate how effective visualization can support better decision-making in energy systems.