District Heating
Hyperlocal temperature forecasting for efficient energy production, distribution and storage
Optimize energy usage, reduce costs, and minimize environmental impact by aligning operations with weather patterns.
With Skyfora’s advanced weather forecasting
Anticipate heating demand fluctuations
Accurate weather forecasts enable district heating operators to anticipate fluctuations in heating demand based on temperature changes.
Better weather insights and hyperlocal temperature forecasts allow for efficient planning of energy production, distribution, and storage.
By aligning operations with weather patterns, district heating providers optimize energy usage, reduce maintenance costs, and minimize environmental impact.
CUSTOMER CASE
Skyfora Hyperlocal temperature forecast
Skyfora hyperlocal temperature forecast provides more accurate temperature forecast fore optimizing district heating operations. The improved temperature forecast can be integrated with customer production data for a true deep-learning solution.
Our products
Skyfora improves weather observations and provides unique weather data and state-of-the-art weather forecasts that are optimized for industrial and regional needs.
Optimized weather forecast
Deep learning technology using vast amounts of atmospheric observations and industry-specific data for increased efficiency, better prediction and operational resilience.
The lightest weather sondes in the world
The most environmentally friendly and cost-efficient way to obtain superior atmospheric data for improved forecasting and research purposes.
Weather data at a scale
1000x more observation data solves the problem of scarce atmospheric measurement data and boost forecast accuracy.
Ready to elevate your operations?
Reach out to us and explore how our advanced weather insights can transform your business.