weather insights
that put you in control

Power forecasts for renewable energy

Managing weather-induced volatility is key to the successful integration of renewable energy into the power grid and energy markets. Since 2011, enercast provides accurate power generation forecasts that enable our customers around the world to efficiently operate their assets, ensure grid stability and increase their trading margins. With the ability to train forecasts for the specifics of each individual site, enercast helps build the decentralized energy system of the future.

Weather-based Artificial Intelligence

enercast has pioneered the application of artificial intelligence in renewable energy forecasting. A key element in this is the ability to efficiently process large amounts of weather data. Our systems combine numerical weather prediction models from international meteorological services with site-specific measurement data to learn the behavior of the individual plants. Based on these models, we deliver robust, plant-specific forecasts around the clock and around the world from our redundant data centers in Germany.

Insightful Products

Our products are designed to provide you with the insights you need to take the right business decisions. With the enercast Portal, you are in full control: Flexibly configure your intraday, day-ahead or long-term forecasts and comfortably manage your asset data. Advanced charting helps you analyze the results and take the necessary action. Our software-as-a-service approach gives you easy access and uninterrupted availability.

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Professional Services

Our Professional Services are available to assist with the integration of our products into your business process. Whether you need specific connectors, a full-service process analysis, or tailor-made forecasting solutions, don’t hesitate to talk to us about what’s possible.

Dedicated Support

Our Customer Support ensures that you get the most from your enercast products. You can choose from a range of options that include application and setup support, expert advice or access to a 24/7 emergency hotline. And in the background, they continuously monitor all operations and ensure the quality of your forecast.

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

Highlight

2021-10-07 News

enercast 10: Celebrating 10 years of weather-based artificial intelligence!

On 29 September 2021, we celebrated the 10th anniversary of enercast with a live online event. In this blogpost we would like to share some videoclips of highlights from the event and officially announce the winner of our quiz.
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Company

enercast is a leading technology provider for weather-based artificial intelligence and the digital transformation of renewable energy. Its self-learning SaaS products deliver accurate power generation forecasts for wind and solar plants, thus enabling the integration of renewable energy into power grids and energy markets worldwide. The enercast platform supplies the digital actors of the emerging decentralized energy system with the intelligence they need to manage limited resources with foresight. Founded 2011 in Kassel, Germany, enercast delivers 100 million forecast data points per day to 20 countries around the globe, covering 180 GW of installed capacity.

More about enercast

Careers

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