Hybrid Conferencee

International Conference on Artificial Intelligence for Energy and Renewable Energy Systems (ICAIERESYS - 26)

17th - 18th September 2026 | Ulaanbaatar, Mongolia

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Ulaanbaatar. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Ulaanbaatar event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Ulaanbaatar conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ulaanbaatar, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Ulaanbaatar."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Artificial Intelligence in Renewable Energy Systems

This track focuses on the integration of artificial intelligence technologies in renewable energy systems. It aims to explore innovative applications and methodologies that enhance the efficiency and effectiveness of renewable energy sources.

Track 02

Neural Networks for Energy Applications

This session will delve into the use of artificial neural networks in various energy applications, including solar thermal and photovoltaic systems. Participants will discuss advancements in modeling and prediction capabilities facilitated by neural network architectures.

Track 03

Optimization Techniques in Renewable Energy

This track emphasizes the role of genetic algorithms and other optimization techniques in improving renewable energy systems. It will cover case studies and theoretical advancements that demonstrate enhanced performance and efficiency.

Track 04

Predictive Control in Energy Systems

This session will explore the application of predictive control algorithms for energy systems, including wind speed prediction and power generation. Attendees will examine the effectiveness of these control strategies in real-world scenarios.

Track 05

Fuzzy Systems in Energy Management

This track investigates the application of fuzzy logic systems in the control and modeling of energy management systems. Discussions will focus on the benefits of fuzzy approaches in handling uncertainty and complexity in energy applications.

Track 06

Computational Intelligence in Building Systems

This session will highlight the use of computational intelligence techniques in architectural and building acoustics. Participants will share insights on how these techniques can optimize energy consumption and enhance building performance.

Track 07

Active Learning in Energy Systems

This track will cover active learning strategies for neural estimation in energy systems, particularly in engine mapping. The focus will be on how these strategies can improve the accuracy and efficiency of energy system modeling.

Track 08

AI Techniques in Combustion Systems

This session will explore the application of artificial intelligence techniques in combustion systems for power generation. Participants will discuss innovations that lead to reduced emissions and improved efficiency in combustion processes.

Track 09

Monitoring and Control in Energy Systems

This track focuses on process monitoring, control, scheduling, and planning in energy systems. It aims to present methodologies that enhance operational efficiency and reliability in energy management.

Track 10

Fault Diagnostics and Maintenance in Energy Systems

This session will address the role of artificial intelligence in fault diagnostics and maintenance strategies for energy systems. Participants will explore techniques that improve system reliability and reduce downtime.

Track 11

Future Trends in AI for Energy Systems

This track will examine possible, existing, and potential applications of artificial intelligence in energy systems. Discussions will focus on emerging trends and technologies that could shape the future of energy management.