Power Laws: Cold Start Energy Forecasting

Usually with buildings, bigger historic datasets yield more accurate consumption forecasts. The goal of this challenge is to provide an accurate forecast from the very beginning of the building instrumentation life, without much consumption history. #energy

€23,000 in prizes
Completed oct 2018
1,289 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: Forecasting cold start building energy consumption


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.