Winners
| Rank | Name | Title | Prize Money (EUR) |
|---|---|---|---|
| Winner | Mahesh Chandra Duddu | Winner | 2000 |
| 1st Runner-Up | Naitik Kariwal & Malay Damani | First Runner-Up | 1250 |
| 2nd Runner-Up | Vikrant Nikunj | Second Runner-Up | 750 |
| 3rd Runner-Up | Shivam Pathak | Third Runner-Up | 500 |
| 4th Runner-Up | Chirag Ramesh Hegde | Fourth Runner-Up | 500 |
Welcome to Phase 2 of the Zelestra X AWS ML Ascend Challenge!
Congratulations to all shortlisted teams! You've made it to the advanced stage, where you'll tackle the complex challenge of optimizing solar energy prediction models to a new level. Your dedication and skill have brought you this far, and now it’s time to dive even deeper into the world of renewable energy innovation.
Phase 2: Problem Statement
Your mission is to refine your models, enhancing both accuracy and efficiency in solar energy forecasting. With the provided data set, you’ll be challenged to address real-world variables such as weather patterns, geographic conditions, and seasonal fluctuations. The goal? Achieve the most precise and adaptable model for solar energy prediction that can support Zelestra's commitment to a sustainable future.
Resources: The dataset and additional resources are available in the Resource Center. This section provides exclusive access to valuable insights and tools that will be instrumental for Phase 2 success.
Key Dates:
- November 5 - November 18, 2024: Phase 2 is open for submissions.
- November 18, 2024: Final submission deadline. Ensure your models are tested, optimized, and ready for evaluation.
Ready to elevate your model?
In Phase 2, every detail counts. Hone your model, push its limits, and demonstrate your team’s innovation and expertise. Zelestra and AWS are excited to see the advanced solutions you'll create to help transform the future of solar energy.
Best of luck, innovators! Your journey continues here.
