Dexter Energy: AI-Powered Optimization for Renewable Power Trading

Dexter Energy is a cutting-edge climate tech platform based in Amsterdam, leveraging advanced AI and machine learning to deliver precise forecasting and intelligent trade optimization for renewable energy and battery storage portfolios. Designed for professionals in dynamic short-term power markets, it offers an all-in-one solution that combines power forecasting, price forecasting, and automated trade strategies to reduce balancing costs by up to 35% and maximize revenue across day-ahead, intraday, and balancing markets. With a team of experts in energy meteorology, quant trading, and data engineering, Dexter Energy processes over 1TB of weather data daily using 10+ NWP models and proprietary algorithms, ensuring high accuracy and real-time adaptability. Its developer-friendly, secure API enables seamless integration with existing systems, while detailed feedback and strategic challenges help clients refine their forecasting and trading setups. Trusted by over 80 energy companies across nine European countries, including Centrica Energy and Luminus, Dexter Energy supports innovative workflows for independent power producers and energy traders seeking to thrive in volatile markets.

Key Features:

• Power Forecast: Machine learning-driven generation forecasting using 10+ numerical weather prediction models, including proprietary sources, with one of the top 3 most accurate forecasts in the market.
• Price Forecast: Probabilistic price predictions to inform optimal bidding strategies in competitive energy markets.
• Trade Optimization: Algorithmic bidding and automated trading strategies across day-ahead, intraday, and imbalance markets.
• Renewables Optimization: Applies option theory to assess and maximize value in short-term trading and ancillary services.
• Real-Time Asset Steering: Enables dynamic control and position closure to minimize risk and balancing costs.
• Self-Serve API: Scalable, RESTful API built for tens of thousands of assets, supporting seamless integration with existing trading systems.
• Weather Data Processing: Handles over 1TB of weather data daily, capturing power losses from extreme conditions like icing and high wind shutdowns.
• Multi-Source Data Integration: Leverages 12+ external data sources and over 100 custom internal features for enhanced predictive accuracy.
• Detailed Feedback & Strategy Challenges: Provides actionable insights to improve forecast setups and trade performance.
• Comprehensive Knowledge Hub: Offers white papers, customer stories, webinars, podcasts, and events like Flexcon and Energy Trading Week.

Pricing: Dexter Energy offers a tailored pricing model based on portfolio size and complexity, with a free demo available to explore capabilities and assess value. While specific pricing tiers are not publicly listed, the platform is designed for enterprise and large-scale renewable operators, indicating a subscription or enterprise licensing model.

Conclusion: Dexter Energy stands as a powerful, data-driven solution for renewable energy companies aiming to optimize trading performance and reduce operational costs. With its blend of AI accuracy, real-time control, and developer-friendly infrastructure, it is a trusted partner for energy innovators across Europe seeking to maximize value in fast-moving power markets.