Energy & Sustainability
The SDSC contributes to optimizing energy production and consumption, enhancing the reliability of renewable energy infrastructures like wind and solar and supporting urban sustainability through data-driven planning.
Projects
Syngenta: Steam consumption optimization
Completed
Reliable strategies to save energy in Syngenta’s Kaisten plant
Private sector
Canton de Vaud: ENERBAT
Completed
Data-Driven Pathways to Net Zero for the Canton of Vaud’s Building Portfolio
Public sector
EKZ: Synthetic Load Profile Generation
Completed
Reliable electricity load monitoring for non-metered nodes
Public sector
SFOE Energy Dashboard
Completed
Modelling the end-user Swiss electricity consumption
Public sector
Bühler: Enhancing resource efficiency
Completed
Data science for enhancing resource efficiency in manufacturing
Private sector
Covalo: Sustainable ingredients
Completed
Leveraging AI to foster sustainable consumer goods
Private sector
Burgdorf: Smart Waste Collection
Completed
City of Burgdorf deploys adaptive algorithms to save critical resources.
Public sector
CleaRIS
Completed
Cleantech Recommendation and Intelligence System
Academia
Private sector
MAGNIFY
In Progress
Machine learning Assisted larGe scale quaNtIfication of building energy FlexibilitY
Academia
EUTHERMO
Completed
Scalable deep reinforcement learning algorithms for building climate control and energy management
Academia
PAIRED-HYDRO
Completed
Machine learning for the components fatigue prediction in hydropower generation
Academia
Case studies
Other domains
Data Science per domain
Our scientists’ expertise is applied daily to a wide variety of domains and applications.
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.