About the Conference
The International Conference on AI Algorithms for Renewable
Energy Systems 2026 focuses on the transformative role of artificial
intelligence and computational algorithms in advancing renewable
energy technologies. This conference provides a platform for
researchers, engineers, and industry experts to explore
innovative solutions for energy forecasting, grid optimization,
storage management, and the development of intelligent energy
networks.
Participants will engage in discussions on cutting-edge algorithms, data-driven models, and their applications in creating resilient, efficient, and sustainable energy systems.
| Time | Session Title | Speaker/Moderator |
|---|---|---|
| 08:30 – 09:00 | Registration | |
| 09:00 – 09:30 | Opening Remarks | Welcome address |
| 09:30 – 10:15 | Keynote Address |
Speaker: Dr. Karen M. von Deneen (Xidian University and University of Florida)
Topic: Advanced Computational Models for Sustainable Energy |
| 10:15 – 11:00 | Keynote Address |
Speaker: Dr. Muyang Ma (Shandong University)
Topic: Intelligent Recommendation Systems for Energy Distribution |
| 11:00 – 13:00 | Lunch Break | |
| 13:00 – 13:45 | Keynote Address |
Speaker: Jian Hu (University of Kent)
Topic: The Smart Energy Epoch: How AI is Redefining Global Power Infrastructure |
| 13:45 – 14:30 | Q & A | |
| 14:30 – 15:00 | Closing Remarks |
Title: Associate Professor
Major: Computer Science, Brain Machine Learning
Affiliation: Xidian University and University of Florida
Title: Doctor
Major: Computer Science, Information Retrieval and
Recommendation Systems
Affiliation: Shandong University
Title: PhD
Major: Energy Engineering
Affiliation: University of Kent
Raza Syed Ali (University of Kent, Assistant Professor)
Nafeesa Mughal (Xi'an Jiaotong University, PhD)
Muhammad Waqasi (Xi'an Jiaotong University, Assistant Professor)
QURAT UL AIN (Xi'an Jiaotong University, PhD )
All submissions will be screened and peer-reviewed by reviewers holding PhD, Doctor of Engineering degrees and associate professors from universities and research institutes worldwide.
The review process adopts a double-blind peer-review policy.