Version MetFor -Locally Optimized Weather Forecast
MetFor™ is a software system for high precision meteorological forecasting in a specific geographic location. WHY DO YOU NEED METFOR™. Locally optimized: Global or regional weather models do often not capture local conditions with adequate precision. MetFor™ delivers a locally optimized weather forecast which can add significant value to highly weather dependent business activities. Operate efficiently. Weather predictions from MetFor™ are used as input for heat demand forecasting, as it improves the forecast accuracy. This enables district heating companies to operate their network and production facilities more efficiently, save fuel cost and reduce CO² emissions. Accurate forecasting: An accurate local weather forecast from MetFor™, can be crucial when planning operation and maintenance work of off-shore (or similar) activities, where weather has a big impact on safety and the ability to operate.
- Cost effective and high performing service solution
- Forecasts local weather more accurately than global and regional weather models
- 5-8% more accurate on time horizons of 1-12 hours ahead
- 6-10% more accurate on time horizons of 13-36 hours ahead
- Based on multiple weather models as input improves both accuracy and availability
- Proven operational track record with redundant server setup provides very reliable data delivery
- Delivered as a service with no or very limited maintenance and interaction required by the customer
MetFor™ is based on advanced machine learning forming a self-learning weather prognosis tool. By combining meteorological forecasts and measurements from a local weather station, the system is not only able to produce an accurate weather prognosis, but can also automatically and continuously improve the forecasts as more data is received over time. This way, MetFor™ is a self-learning, self-correcting weather prognosis tool crucial to any weather dependent aspect of the energy sector.
MetFor™ can seamlessly be deployed and integrated with HeatFor™ and HeatTO™ as part of the ENFOR™ platform of tools for district companies.
MetFor™ is provided as an integrated service from the ENFOR™ platform, which also contains a data collection and validation module. Data streams are monitored 24/7 and the system is robust to missing/erroneous measurements and temporary failure of meteorological forecasts.
The ENFOR platform also provides MetFor™ with data integration modules through either FTP, SFTP or web-services such that MetFor™ can be seamlessly integrated with both weather stations, SCADA systems and other operational tools.
- Self-learning and self-calibrating algorithms for accurate meteorological forecasting
- Forecast single or multiple locations up to 10 days ahead
- Forecast updated every hour
- Integrates seamlessly with:
- Local weather measurements
- Heat demand forecasting tool HeatFor™
- Data integration interfaces based on FTP, SFTP or web-services supporting numerous formats and file types (CSV, XML, SOAP, JSON etc.)
- Delivered as a service solution, with redundant setup and 24/7 monitoring support