This track focuses on the latest advancements in renewable energy technologies and their engineering applications. Participants will explore innovative solutions that enhance energy efficiency and sustainability.

This session examines the integration of blockchain technology within energy systems to improve transparency and security. Discussions will highlight case studies and practical implementations in renewable energy markets.

This track delves into predictive modeling techniques utilized for accurate energy forecasting. Researchers will present methodologies that leverage data analytics to optimize energy production and consumption.

This session explores the application of supervised and unsupervised learning methods in renewable energy contexts. Attendees will discuss how machine learning can enhance decision-making processes in energy management.

This track focuses on methodologies for detecting anomalies in energy systems using advanced analytics. Participants will share insights on improving system reliability and performance through effective anomaly detection.

This session emphasizes the importance of feature extraction techniques in analyzing energy data. Researchers will present innovative approaches to enhance the quality and interpretability of energy datasets.