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

22nd - 23rd Mar 2027,Colombo, Sri Lanka

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Call for Paper

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Important Dates


Early Bird Registration

20th Feb 2027

Paper Submission Deadline

25th February 2027

Registration Deadline

7th March 2027

Conference Date

22nd - 23rd Mar 2027

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    Early-bird registration for the Science Cite Conference in Colombo ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Colombo conference.
  • Peer Review Process:
    The peer review process will begin soon for Colombo conference.
  • Networking with Global Experts:
    Join global experts at our conference in Colombo.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICMLESS bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning for Energy Systems and Sustainability, encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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