The pilot uncovered key insights into the potential—and challenges—of real-time weather-driven energy optimization.
In autumn 2023, we partnered with Testbed Helsinki and kicked off a alongside Eeneman, Bravida, and Platform of Trust at Metropolia University of Applied Sciences’ Myllypuro campus—an innovation hub with a strong track record in research initiatives. Throughout the project, we wrote about the improved forecast accuracy and from hyperlocal weather data integrations.
Now that the pilot is complete, let's discuss the key learnings and emerging opportunities this complex project has revealed.
Lessons learned from real-world testing
Testing in a real urban environment provided invaluable insights into the practical applications and challenges of hyperlocal weather forecasts for energy efficiency. Mikko Laakso from Vaisala Xweather reflects, "We gained valuable experience from building automation applications, which can be used to develop the service further. For example, the impact of wind and solar radiation on buildings’ energy consumption optimization could also be studied." The experiment demonstrated that hyperlocal forecasting can enhance energy optimization but also revealed key areas for further development.
Integration with building automation is crucial: Our pilot required precise coordination between Vaisala Xweather’s weather data and Metropolia’s building automation system. This highlighted the need for seamless integrations to maximize energy savings.
Variability in real-world conditions: External factors such as occupant behavior, seasonal variations, and unexpected weather shifts impacted the results. Future research will explore ways to refine forecasting models to account for these complexities.
Potential of AI-driven hyperlocal forecasting: The use of AI models to translate general weather forecasts into building-specific predictions proved effective, demonstrating strong potential for future applications.
“During the pilot, we developed hyperlocal forecasts for energy control, created a calculation model to evaluate efficiency, and integrated Vaisala Xweather’s weather data with Metropolia’s building automation system,” explains Tapio Toivanen from Eeneman.
Future directions and innovation opportunities
The experiment underscored the importance of controlled testing environments. To further refine our technology, we have installed sensors on the roof of VTT’s FutureHub headquarters, where we are exploring digital twin technology for enhanced weather model validation in collaboration with VTT, one of Europe’s leading research institutions.
Additionally, the hyperlocal weather station from this pilot will be integrated into a broader network to support Helen’s district heating optimization in Helsinki. Helen Ltd is a Finnish electricity supplier whose energy production has been recognized as the most efficient in the world. The company aims to achieve 100% carbon neutrality in its energy production. This expansion will allow for more comprehensive data collection and improved forecasting accuracy.
Scaling for global impact
The insights gained from this pilot will help accelerate the adoption of hyperlocal weather-based energy optimization solutions worldwide. By leveraging these learnings, Vaisala Xweather aims to refine and scale the technology for broader applications, including buildings managed by the City of Helsinki.
By harnessing the power of advanced weather forecasting, Vaisala Xweather continues to drive sustainable innovation—helping cities and businesses reduce energy waste and create smarter, more efficient urban environments.
