Participants are asked to use machine learning in order to identify abnormal consumption from smart meter data.
Reduce your climate Impact CH
Energy data has multiple dimensions. Where are the most surprising changes?
<a...
#Performance GAP Gebäude (Challenge #9) #Idee: Was wäre wenn? Der Gebäudesektor ist einer der grossen...
(English below) ##Neue Nutzungsfelder Smart Meter Daten (Challenge #7) * Entwickeln Sie eine neue...
and the power of open data
Where solar photovoltaics make the most sense
Weiterentwicklung der BfE-Info-Plattform; «Ich tanke Strom.ch»; Verbesserung der Transparenz
Energieverbrauch von Fernwärmeanlagen minimieren, insb. der Einsatz von Spitzenlast-Kesseln (fossile Brennstoffen)
Raise awareness and support global climate goals
Empower citizens to use their energy data. Using the smartmeter's CII beyond visualisation to steer local consumption.
Using AI to predict how power transformers will fail, and what to watch out for
Energy data are diverse. How do we present them interactively and informatively?
Know the neighbourhood of your customer
<a href="https://youtu.be/WytZIBLyw_M?t=10775" class="btn btn-lg btn-danger">Recording</a> <a...
Evaluate and optimize trade-offs in the design of battery storage for PV systems
Challenge #14: "Anomaly Detection for Smart Meter Devices" from the open energy hackdays 2020
(English below) #Analyse E-Mobilitätsverhalten (#5) ##Ziel: Antworten auf Fragen bezüglich Mobilitäts- und...
(Challenge #7) Novel energy certificate assesses where and how strongly building / user behaviour causes...
Lokale Schnittstelle zu Smart Meter inkl. Darstellung auf Web Oberfläche