Power Forecast
Reduce balancing costs with accurate generation forecasts for wind and solar portfolios.
Our solutions are designed to manage portfolio risk and optimize financial results. Discover how we can improve your short-term power trading.
Our products are used by some of the most innovative energy companies in Europe. You’ll be in good company.
Reduce balancing costs with accurate generation forecasts for wind and solar portfolios.
Increase short-term trading results with algorithmic bidding strategies.
Maximize revenues through cross-market optimization and imbalance management.
We provide a suite of AI-based products that help power traders optimize their strategies across the day-ahead, intraday, and balancing markets.
Dexter delivers one of the top 3 most accurate renewable generation forecasts on the market.
Our ML approach has proven to reduce balancing costs by up to 35%.
We interpret 10+ NWP models, including proprietary sources, and ingest 1,000+GB of new forecasts per day.
In addition to leading accuracy, our forecasts effectively capture power losses caused by extreme weather, such as icing and high wind shutdowns. These events typically result in high costs for short-term power traders.
Our self-serve API, built on a modern RESTful framework, scales easily to manage tens of thousands of assets.
For over 20 years, mission-driven Greenchoice has been bringing green electricity to its customers. As an energy supplier with more than 600,000 customers, Greenchoice is dedicated to providing green electricity from its 4+ GWh renewables portfolio.
Like Greenchoice, Dexter Energy also aims to accelerate the energy transition. This shift towards renewable energy brings about changes to the market. With Dexter’s forecasts, Greenchoice has been able to achieve portfolio optimizations in the short-term trading markets.
"We benchmarked forecasting skills and Dexter Energy's are among the best in the market. Their advanced algorithms and big data analytics help us balance and optimize our 100% renewable portfolio. This will ensure more sustainable applications can be made accessible and together we work towards an energy transition that benefits all." Jurgen Duivenvoorden, Manager Trading and Forecasting
Dexter offers market-leading bidding strategies for renewable power traders, turning price risks into financial opportunities.
The automated strategies are based on price forecasts – trading strategic energy amounts on day-ahead or intraday markets – thereby maximizing profits.
Our approach is data-driven and AI-based. The underlying price forecasting models draw from 12+ external sources, including weather models and fundamental market insights. These external data points are enhanced by internal models based on 100+ custom-developed features.
The product is easy to onboard with a modern RESTful API.
The transition to renewable energy sources means that short-term energy prices are increasingly volatile due to the intermittency of renewable power.
Dexter Energy has developed probabilistic price forecasts that are able to capture the impact of these effects. Our clients tell us they appreciate the financial performance (in €/MWh traded). They also value the unique and different shape of the signal which gives them comfort in terms of risk management.
One example of customers that use our day-ahead-to-imbalance strategy are renewable portfolio owners who market the produced energy themselves.
These clients don’t have large trading departments with market insights, but still would like to incorporate asymmetrical price spreads in their bidding strategy.
By providing automated bidding strategies - in combination with a generation forecast or stand-alone - Dexter helps these clients get a grip on balancing costs whilst managing the volumetric risk.
Dexter provides advanced optimization strategies for wind and solar portfolios.
This product helps power traders unlock the full flexibility of their assets. Using option theory, we estimate the value of all immediate and future trades across short-term power markets and ancillary services. The approach ensures maximum revenues, especially in volatile market conditions.
Our trading strategies account for real-time asset steering capabilities. If needed, traders can close positions in the balancing market, thus minimizing costs and reducing exposure to market risks.
The product is easy to integrate with existing trading systems via a RESTful API, supporting the seamless management of multiple assets.
Scholt Energy provides energy and flexibility services to the B2B market. They optimize and market battery energy storage systems on behalf of their customers.
Over the years, large B2B power consumers have invested in flexibilizing and decarbonizing the way power is being used. Scholt Energy helps these clients by offering an energy solution that integrates energy supply with added flexibility and optimized returns.
A main use case is the curtailment of solar and wind assets in moments of highly negative balancing prices.
Dexter delivers bespoke asset steering strategies to Scholt Energy in order to maximize profits for their customers.
Using Renewables Optimization, Sam McDermott, Product Owner, noticed a decrease in exposure for their renewable steering during instances of dual pricing on the Dutch balancing market.
“With Dexter, we have been able to increase trade profits for our customers, thereby accelerating the decarbonization and flexibilization of the energy system.” Walter van Alst, Operations Manager ETS
We provide advanced decision-support products for the trading floors of modern energy companies.
We provide our customers with the best all-in-one solution for the short-term trading cycle. Here’s what you can expect from a partnership with us.