In order to optimize the forecast for solar assets with self-consumption, enercast 2025.02 now features dedicated forecast models.

In June 2024 ECMWF, the European Centre for Medium-Range Weather Forecasts, held the workshop “Using ECMWF’s Forecasts (UEF2024)”.

enercast supports Fraunhofer IEE in project OTELLO

The enercast team gathered in Kassel for the annual enercast Family Days and set the agenda for the rest of the year.

… we are honored to continue being part of your push towards the energy transition in 2024!

On 23 November 2022, the Deutsche Wetterdienst (German Weather Service, DWD) has implemented an improved version of its ICON-EU model which is part of our forecast ensembles for assets in Europe.

Taking advantage of their combined expertise in artificial intelligence, the partnership enables their customers portfolio management to make their renewable energy assets more valuable and maximize their return on investment.

enercast announces enercast 2022.02 Release: Improved Yield Assesment for power generation sites, Instant Backcasting for enhanced risk management, Advanced power forecast quality evaluation

“With iS Software, we have found the ideal partner to offer our customers a complete solution for Redispatch 2.0 and thus to further push the digitalization of renewable energies, without which the energy transition cannot succeed.”, Tim Ulbricht, Chief Sales Officer of enercast GmbH

Tim Ulbricht has been appointed new chief sales officer (CSO) of enercast GmbH.

enercast users can now monitor the expected penalties in real-time directly in the enercast Portal using our new penalty widget.

State enterprise Guaranteed Buyer uses enercast services for its entire renewables portfolio. Contract adds to robust market entry for enercast in the Ukraine.

To help our users tailor the quality evaluation to their needs, the enercast Portal offers a number of widgets for interactive forecast evaluation.

Within the research project “Prophesy”, a tool was developed that allows to simulate feed-in, forecasts and forecast error on different temporal and spatial scales.

Researching new methods for automated knowledge transfer between individual system components in the energy sector in order to be able to generate robust status determinations and forecasts for new and changing system components.

Dr. Henning Schulze-Lauen, Managing Director of enercast GmbH, speaks about artificial intelligence and how enercast applies this technology for making renewable energy successful.

Prof. Dr. Kristina Sinemus, Hessian Minister for Digital Strategy and Development, visited enercast GmbH in Kassel today as part of her summer trip.

Our white paper provides an overview of forecasting methods and how we apply enercast e³ technology in order to deliver optimal power forecasts.