Power forecasts for wind and solar.
Applied artificial intelligence.
Tools to take charge of your data.
Power forecasts for renewable energy
More than 14,000 sites worldwide are controlled with our wind and PV forecasts.
Every day, we process 700,000 data signals – forecast data from international meteorological services and measurement data from wind and PV systems – from which artificial intelligence produces robust and plant-specific forecasts.
This enables us to support our customers in generating a total installed energy output of around 80,000 megawatts.
Companies in 18 countries increase their trading revenues through our performance forecasts and thus achieve higher profitability.
Big Data & Artificial Intelligence
Since 2011, we have been operating our forecast services via distributed and redundant data centers in Germany.
The currently 600 TB of Managed Data are processed via a robust, industry-ready Big Data infrastructure – growth per day: 150 GB.
Hundreds of ANNs (Artificial Neural Networks) can be trained on our Artificial Intelligence platform.
For each plant we transform data points into high-quality and relevant information via this infrastructure (24/7 calculation, transmission and monitoring).
Whether as intraday, day-ahead or long-term – our performance forecasts can be used interactively at any time, as freely configurable software-as-a-services.
This makes data management, analytics and forecasts transparent for the first time – correlations open up and the entire site management can be optimized.
Specific demands require individual solutions. That’s why our Professional Services are not only the connectors between product and customer, but also enable tailor-made solutions for your individual processes and tasks.
From full-service process analysis to proof-of-concept to fully functional 24/7 industrial applications.
Through application and setup support, continuous updates and an emergency hotline (24/7) to our analytics experts, we ensure the secure and constant availability of our service platform.
Efficient asset management
Using our platform, forecasts can now be integrated quickly and interactively into your own processes – not only weather-specific deviations and effects become more transparent and an optimal management of your own assets becomes possible.
For example, energy suppliers and grid operators can increase the investment security of their sites and systems by improving continuous feed-in into the energy grid.
Enabling energy trading
Our open platform format enables the integration and condensation of a wide variety of information.
For example, if historical weather data, energy consumption and production data are combined with other qualitative information, artificial neural networks (ANNs) can find correlations and patterns that allow a stable price forecast for the intraday, spot and control energy markets.
For instance, this allows direct marketers and energy traders to make better trading decisions.
Powering the digitization of infrastructure
Digitization means the changes of processes, objects and events for the use of digital devices and requires standardized data and structures.
This is exactly where our API for interactive format / file mapping comes in. A uniform and consistent data quality is achieved by using an AI-based data cleansing tool.
This enables energy and industrial companies to increase productivity and reduce maintenance costs by combining and processing a wide variety of data sources to create new insights.
Optimization ofSmart Grids
Using our open forecasting platform, historical weather data and data of the current total energy consumption of a city or district as well as the local, but volatile feed-in volumes of renewable energies can be integrated, standardized and correlated.
Structurally fluctuating energy consumption loads can thus be better predicted, which, for example, can save costs for municipal utilities and local distributors and increase grid stability.