Sustainable Industry: Rinse Over Run

Help make industrial cleaning processes more efficient! The goal of this competition is to predict measures of cleanliness during final rinse in order to help minimize the use of water, energy and time, all while ensuring high cleaning standards. #energy

€20,000 in prizes
mar 2019
1,213 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: Prediction of cleaning production equipment

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.