The Open Energy Data Hackdays 2020 took place on the 28th and 29th of August in the Hightech Zentrum in Brugg. We ran a virtual workshop in March to celebrate Open Data Day - find a blog post here with a recap - postponing the initial date due to the onset of COVID-19. In August we ran the event with social distancing and multiple other measures to keep our participants safe. This challenge platform, a chat workspace, online forums and social media enabled virtual participation and audience.
Read your own Smart Meter
E-Mobility Behavior Analysis
Cheapest Charging Around
PV self-consumption optimization
Smart Meter Anomaly Detection
Empower the People with Smart Meter Data
Optimization of District Heating
Energy data visualization
ML Wind Power-Prediction
LocationAI
Photovoltaic: Where is it Best?
Unleashing the Swiss Smartmeter's CII
Put CH on Electricity Map
Distributed analytics for asset management
Client-Analysis 2.0
4
Challenge: Anomaly Detection
2
Integrations for North App
2
ML: Knowledge discovery from energy data
1
Performance GAP Buildings
4
PV Optimisation
4
Smart Meters: New Uses
Offene Daten
Hier findest du die diversen offenen Energiedatensätze, die wir für die Hackdays befreit, gesammelt und aufbereitet haben. Weitere Vorschläge und Wünsche können mit diesem Formular oder auf GitHub eingereicht werden. Auf Datenportale wie opendata.swiss gibt es weitere offene Datensätze zu entdecken. Bitte achten auf die Einhaltung der Nutzungsbedingungen und die korrekte Angabe allen Datenquellen.
Open Data
Here are diverse open energy datasets that we have researched and prepared for the Hackdays. Additional suggestions and requests can be submitted here or via GitHub. On data portals like opendata.swiss you can discover more open datasets such as these. Make sure to follow the Terms of Use and correctly attribute your open data sources.
Further resources
Data Packages
Visit 📺energy.schoolofdata.ch to explore our prototype community data portal, where you can browse Data Packages that we are working on. What is this good for? Check out an example data science notebook or visit frictionlessdata.io to find out about some of the advantages of packaging your open data. Here are the latest open issues with our progress:
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All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Guidelines on our wiki.
The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.