Pre-Enrollment

5th November 2026

Final Paper Submission

10th November 2026

Registration Deadline

20th November`2026

Conference Date

5th Dec - 6th Dec 2026

Call for Papers

The International Conference on Data Science for Smart Grids and Energy Systems 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 Data Science, 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
Data Analytics For Smart Grid Optimization
02
Machine Learning In Energy Systems
03
Predictive Maintenance For Smart Grids
04
Renewable Energy Integration Challenges
05
Data-driven Decision Making In Energy
06
Smart Meter Data Analysis Techniques
07
Energy Consumption Forecasting Models
08
Cybersecurity In Smart Grid Technologies
09
Real-time Data Processing In Energy Systems
10
Iot Applications In Energy Management
11
Data Visualization For Energy Analytics
12
Big Data Techniques For Grid Stability
13
Energy Storage System Optimization
14
Demand Response Strategies Using Data
15
Data Ethics In Energy Systems
16
Smart Grid Communication Protocols
17
Environmental Impact Assessments Using Data
18
User Engagement Through Data Analytics
19
Data-driven Policies For Energy Efficiency
20
Future Trends In Smart Grid Technologies
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