Hybrid Conference (In Person / Virtual)

International Conference on Energy Systems with Machine Learning (ICESML - 27)
27th - 28th April 2027 , Montreal, Canada
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Conference Notifications:

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

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Montreal. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Montreal conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Montreal and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

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:

01
Machine learning for energy forecasting
02
Smart grid applications of ML
03
Energy consumption optimization techniques
04
Predictive maintenance in energy systems
05
Renewable energy integration with ML
06
Energy management systems using ML
07
Data analytics for energy efficiency
08
Machine learning for demand response
09
Energy storage optimization strategies
10
Real-time monitoring of energy systems
11
Machine learning for smart buildings
12
Energy market prediction using ML
13
Machine learning for electric vehicles
14
Sustainable energy solutions with ML
15
Energy system modeling and simulation
16
Data-driven decision making in energy
17
Future trends in energy systems
18
Machine learning for HVAC systems
19
Energy policy implications of ML
20
Collaborative energy management systems

Assessment

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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