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With ongoing regional conflict and aviation warnings, this event may transition to virtual delivery only, prioritizing participant safety and accessibility.

Flex Conference (Physical / Digital)

International Conference on Machine Learning for Energy Systems and Sustainability - (ICMLESS-27)

10th - 11th February 2027 , Mecca - Saudi Arabia

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Call For Papers

The (ICMLESS-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science, Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Machine learning for renewable energy forecasting
  • Predictive analytics in energy consumption
  • Sustainability metrics and machine learning
  • AI applications in smart grid management
  • Energy efficiency optimization techniques
  • Data-driven approaches to climate change
  • Predictive modeling for energy storage systems
  • Impact of AI on energy policy
  • Machine learning for carbon footprint analysis
  • Real-time monitoring of energy systems
  • Challenges in energy data analytics
  • Integrating machine learning in energy systems
  • Sustainable practices through predictive analytics
  • AI for optimizing energy distribution
  • Behavioral insights in energy consumption
  • Future trends in energy analytics
  • Collaboration between AI and energy sectors
  • Data visualization for energy insights
  • Machine learning for emissions reduction
  • Interdisciplinary approaches to energy sustainability

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.