International Conference on

Energy Systems with Machine Learning (ICESML-26)

12th – 13th Oct 2026 | Nagoya, Japan | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Energy Systems with Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for energy forecasting
02
Smart grid applications of ML
03
Energy consumption optimization techniques
04
Predictive maintenance in energy systems
05
Renewable energy integration with ML
06
Energy management systems using ML
07
Data analytics for energy efficiency
08
Machine learning for demand response
09
Energy storage optimization strategies
10
Real-time monitoring of energy systems
11
Machine learning for smart buildings
12
Energy market prediction using ML
13
Machine learning for electric vehicles
14
Sustainable energy solutions with ML
15
Energy system modeling and simulation
16
Data-driven decision making in energy
17
Future trends in energy systems
18
Machine learning for HVAC systems
19
Energy policy implications of ML
20
Collaborative energy management systems
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

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