Pre-Enrollment

5th August 2026

Final Paper Submission

10th August 2026

Registration Deadline

20th August`2026

Conference Date

4th Sep - 5th Sep 2026

Call for Papers

The International Conference on Energy Systems with Machine Learning invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review