10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

13th - 14th July 2026 | Athens, Greece

International Conference on Data Mining for Energy Engineering and Smart Grids (ICDMEESG - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDMEESG) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Mining, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Data mining for energy engineering applications
02
Machine learning in smart grid technologies
03
Predictive analytics for energy consumption
04
Data-driven approaches to renewable energy
05
Big data challenges in energy systems
06
Data visualization for energy management
07
Real-time monitoring in energy engineering
08
Data mining for energy efficiency solutions
09
Integration of AI in energy systems
10
Collaborative energy management through data sharing
11
Case studies in energy engineering analytics
12
Data-driven methodologies in energy research
13
Ethics in energy data usage
14
Future trends in energy engineering analytics
15
Data mining for energy storage optimization
16
Machine learning for demand forecasting
17
Data-driven innovations in energy technologies
18
Data mining for grid reliability assessment
19
Applications of data mining in energy systems
20
Data-driven decision making in energy engineering

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.