The most valuable attributes were the amount of contacts to customer center, the Bonity-Index and the Billing-Type.

3 years ago ~ nicola_ruch

The original file (anonymized customer data) was analyzed on BigML using random forest.

3 years ago ~ nicola_ruch

We are modelling heat demand based on outside temperatures.

3 years ago ~ wolfram

Since the original challenge 05 and 09 was not accepted, we sat together thinking of what we can do with the ressources we had.

3 years ago ~ nicola_ruch

deriving criteria to label the data based on such a criteria

Unfortunately, the challenge was at first not accepted by hackers. So we connected together with the Project Owner of Challenge 5.

3 years ago ~ nicola_ruch

Expanding the list of models to define which could be added to the platform

3 years ago ~ benbowler
More!

* dribs n. pl.: in small amounts, a few at a time

Energy Data Hackdays 2025