Flex Conference (Physical / Digital)

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

17th - 18th August 2026, Kowloon City, Hong Kong

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Call for Paper

The ICESML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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Important Dates

Early Bird Registration :18th July 2026

Paper Submission Deadline :23rd July 2026

Last Date of Registration : 2nd August 2026

Date of Conference : 17th - 18th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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