International Conference on Energy Systems with Machine Learning - (ICESML-26)


14th - 15th December, 2026 | Lisbon, Portugal

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

14th November, 2026

Paper Submission Deadline

24th November, 2026

Last Date Of Registration

29th November, 2026

Date Of Conference

14th - 15th December, 2026

Downloads

Call for Papers

The (ICESML-26) 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 Machine Learning, 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:

  • Machine learning for energy forecasting
  • Smart grid applications of ML
  • Energy consumption optimization techniques
  • Predictive maintenance in energy systems
  • Renewable energy integration with ML
  • Energy management systems using ML
  • Data analytics for energy efficiency
  • Machine learning for demand response
  • Energy storage optimization strategies
  • Real-time monitoring of energy systems
  • Machine learning for smart buildings
  • Energy market prediction using ML
  • Machine learning for electric vehicles
  • Sustainable energy solutions with ML
  • Energy system modeling and simulation
  • Data-driven decision making in energy
  • Future trends in energy systems
  • Machine learning for HVAC systems
  • Energy policy implications of ML
  • Collaborative energy management systems

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.