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ENFIELD Hackathon 2025: AI for Energy Efficiency

Posted on 1 Mar at 12:00
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29-30 of May 2025, Tallinn, Estonia

About the Hackathon

Are you passionate about Artificial Intelligence? Do you want to be part of a transformative experience that shapes the future? This is your chance!

The ENFIELD Hackathon 2025 is calling all innovators, coders, and AI enthusiasts to join us for an event of creativity, collaboration, and cutting-edge technology.

 

Who Can Participate?

Whether you’re a Ph.D., M.Sc., or B.Sc. student, or a young researcher with a keen interest in AI, this hackathon is for you! Participants will form teams composed of 2 to 5 members. When responding to the call for participants, teams must already be formed.

Why Participate?

  • Innovate: Push the boundaries of AI technology and create solutions that enhance energy efficiency and sustainability.
  • Collaborate with the Best: Work alongside bright minds from diverse backgrounds.
  • Learn and Grow: Gain invaluable experience, insights, and mentorship from AI experts.

Event Highlights

  • Workshops and Talks: Engage with leaders in AI and gain new skills through hands-on experience.
  • Mentorship: Get guidance and feedback from experienced mentors.
  • Networking: Connect with like-minded individuals and expand your professional network.
  • Showcase: Present your innovative solutions to a panel of expert judges and to the hackathon participants.

Ready to Make an Impact?

Join us at Hackathon 2025 and be a part of the AI revolution. Bring your ideas, your skills, and your passion. Together, we can create a future powered by AI.

Challenges

The Hackathon will challenge teams of competitors to develop innovative solutions for “AI for Energy Efficiency”.

Hackathon Stages:

  1. First Stage:
    • Objective: Teams will develop their solutions using the provided data.
    • Submission Deadline: April 1 April 14, 2025 (23:59 CET)
    • Required Submissions:
      • Team name, team leader, and email address for correspondence.
      • Names and affiliations of all team members.
    • Dataset given to the participants upon deadline for registration.
  2. Second Stage:
    • Objective: Further refinement and development of solutions.
    • Submission Deadline: May 15, 2025 (23:59 CET)
    • Required Submissions:
      • Team name, team leader, and email address for correspondence.
      • GitHub repository with the source code and datasets used.
  3. Final Stage:
    • Event Dates: May 29-30, 2025
    • Location: Tallinn University of Technology (TALTECH), Tallinn, Estonia
    • Activities: Teams will gather at the event venue to finalize their solutions, interact with mentors, and prepare their presentations and demos. Each team will present their developed solution during an allocated time slot.

 Task:

Dataset provided to the participants upon deadline for registration:

  • Hourly electricity demand of several buildings in TALTECH campus
    (365days x 24 hours).
  • Areas of buildings.
  • Local weather data.

Given two month data of a “new” building located in the same campus, predict hourly electricity consumption for the rest 10 months of the year.  NB! A “new” building data will be provided at the hackathon.

Evaluation Criteria:

Provided solutions will be evaluated based on the following criteria:

  • The most accurate prediction (based on calculated MAPE).
  • The simplest (most computationally efficient) solution providing reasonable accuracy.
  • The most elegant solution (chosen based on the public votes).

Note: A well-presented solution is essential for consideration.

 

Registration

How to register you submission?

For the First Stage the candidate teams must fill in the ENFIELD Hackathon 2025 registration form by April 1 April 14, 2025 (23:59 CET)

 

The ENFIELD Project is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or DG CNECT. Neither the European Union nor the granting authority can be held responsible for them. The University of Nottingham’s participation in the Horizon Europe Project ENFIELD is supported by UKRI grant number 10094603.

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The Centre for Intelligent Systems focuses on advanced system modeling methods, data science, machine learning, and virtual and augmented reality.

Recent Posts

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