Hybrid Conferencee

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

15th - 16th October 2026 | Osaka, Japan
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Osaka. 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 Osaka 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 Osaka conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Osaka, 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 Osaka."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDMEESG aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Mining, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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