Power Laws: Optimizing Demand-side Strategies

Storage is critical to flexible and reliable access to renewable energy sources. In this challenge, competitors combined traditional optimization methods and machine learning to build algorithms for controlling a battery charging system as efficiently as possible. #energy

€23,000 in prizes
Completed mar 2018
354 joined

Good news! Schneider Electric has made the training data for this competition available on their Data Exchange for ongoing use, practice and learning.

In order to access the data, you’ll first need to create an account on the Schneider Exchange. Then follow the link below to add the competition dataset to your Digital Library, where you’ll be able to freely access the data. These datasets are maintained by Schneider Electric and released at their discretion.


Dataset: Optimizing storage demand-side strategies


Please note that we won't be able to field questions about the data, but we wanted to share it here for the benefit of the community. If you have a question, feel free to post it to the forum.

For more details on the results and winners of the competition, including links to open source solutions, check out the results blog post.