Challenges 2026

Learn more about our hackathon challenges.

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Total 10 challenges
SDSC - Swiss Data Science Center

AI for Accurate Rooftop PV Potential

Develop a computer-vision solution that improves rooftop solar potential estimation by detecting existing photovoltaic…
03.08.2026
Axpo

AI for Generator Health Monitoring: Separating Partial Discharge from Electrical Noise

Develop AI or signal processing methods that distinguish true partial discharge activity from electrical…

08.07.2026
EKZ

Customer Flexibility Intelligence for the Energy Transition

Build an AI-powered solution using Microsoft Fabric Apps and Azure AI Foundry that identifies, explains, and unlocks…
17.07.2026
Detecon

Electricity Consumption Transparency Engine

Build a universal analytics engine that helps energy-intensive companies understand their historical electricity…
30.06.2026
AEW Energie

Energy Fingerprints: What Can You Learn from Electricity Data?

When are people charging their EVs? Who is producing solar? What devices are operating inside a home? Using anonymized…
11.07.2026
Energie360

EV charging Location-Based Price Optimisation

This challenge is about building a pricing engine that sets optimised prices for charging sessions at each location.…
28.07.2026
CKW

Improving Household Load Disaggregation for the CKW Customer Portal

In the CKW customer portal we show customers how much their household appliances consume. The current non-intrusive…
29.06.2026
Swissgrid

Probabilistic Net Position Forecast

The net positions of Switzerland and its neighbouring countries are vital parameters in balancing our grid models.…
27.07.2026
ewz

What can a school of fish teach us about grid incentives?

Design a grid tariff that's only revealed after the fact, so households must anticipate it — like fish moving as one,…
28.07.2026
WeDoWind

Wind Turbines: The Yaw Misalignment Challenge

Develop and compare methods for identifying yaw misalignment–driven underperformance using high-frequency SCADA data…

11.07.2026

What happened to the past challenges?

Outcomes and Archive

FAQs for Challenge-Owner

Have a great idea? We want to hear it! Anyone is welcome to submit a challenge for the Hackdays.

To ensure the event is sustainable, we prioritize challenges from our partners and sponsors. However, we still consider independent submissions—so if your idea is a great fit, please send it our way! While we can't promise a spot for every non-affiliated entry, we value your contribution to the innovation ecosystem.

Ready to get started? You can submit your challenge via our online form—the process is quick and straightforward.

To help you craft a compelling proposal, we’ve put together a step-by-step guide to assist you along the way: 👉 View the Challenge Submission Guide

Please note: While we welcome all ideas, submitting a challenge does not guarantee inclusion in the final event unless you are an official partner or sponsor

To ensure the successful resolution of our challenges, the use of relevant data sets is essential. In most instances, Challenge Owners are expected to provide their own data for processing.

For security and compliance reasons, all data must be processed exclusively using the programs and servers provided within the event network.

The documentation of the challenges will be published on GitLab and our Webiste.
The data used for the solution will not be published.

Take a look at the past projects:
Archive

The challenges and their results are freely accessible and will be published and archived on this website 
They will be made available to interested parties (universities, engineering offices, developers, challenge owners, participants in the hackdays) for further use.

Primarily with the challenge owner. Publishing the documentation would theoretically make it possible to use them, but this has not yet been done. Complete solutions are also rarely developed as part of hackdays. Rather, they are approaches and MVPs.

Data & Data Sets:
Publicly accessible data sets remain publicly accessible. If challenge owners provide their own data for processing the task, this is generally only available for the event (or their own challenge). The challenge owner can also make certain data sets available for other events depending on their own governance requirements and make these sets freely available.

Models:
This depends heavily on the challenge owner and the challenge itself. The documentation of the challenges is published on Github and on the SwissEnergy website. This means that they are not only available to the challenge owner. As a rule, the challenge owners take the results of the hackdays back with them and use them internally for further development > Sense and added value of open innovation.

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