weather insights
that put you in control

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 160 gigawatts. Companies in 20 countries worldwide 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. 2,000 artificial neural networks are being trained on our artificial intelligence platform.

For each site, we transform data points into high-quality and relevant information via this infrastructure — calculated, transmitted and monitored around the clock.

Insightful Products

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.

Try it today!

Professional Services

Specific demands different industries 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.

Dedicated Support

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 integration platform, forecasts can now be integrated quickly and interactively into our customers’ business processes. The result: Weather-specific process deviations and effects become more transparent, enabling an optimal management of your valuable assets.

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.

Case Study: ovag Netz AG

Case Study: EnergieNetz Mitte GmbH

Enabling energy trading

Our open integration platform enables the fusion 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 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.

Case Study: Engie SA

Case Study: BayWa r. e. Clean Energy Sourcing GmbH

Digital transformation of renewable energy

Digital transformation means changing processes, objects and events for the use of digital devices. A key element of this are standardized data and structures.

This is exactly where our API for interactive 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.

Case Study: Städtische Werke AG

Case Study: Fraunhofer IEE

Optimization of
Smart 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.

Case Study: Fraunhofer IEE

Customers in 20 Countries worldwide


enercast is a leading technology provider for applied artificial intelligence and the digital transformation of renewable energy. Its self-learning software-as-a-service products deliver accurate power forecasts for wind power and solar plants, thus enabling the integration of renewable energy into power grids and energy markets worldwide. Its integration platform for the industrial application of artificial intelligence and big data supports its customers’ decision-making processes, fulfilling enercast’s promise: “Weather insights that put you in control”. Founded in 2011, enercast is headquartered in Kassel, Germany and delivers 100 million forecast data points to 20 countries around the globe, covering 160 GW of installed capacity.

More about enercast


enercast has been ranked as one of the top employers in Kassel. There are few topics more advanced than artificial intelligence, and few industries more meaningful for the future of the planet than renewable energy. Together with a highly talented team, an open-minded and team-oriented work environment, and an opportunity to be part of a unique growth story, this makes for a highly enjoyable workplace.

Current job postings