The capture rate shows how much of your produced energy is effectively sold in the market, while the capture price highlights the average market price your energy receives compared to the overall market price.
This dual metric provides a clear view of your asset’s efficiency and market performance. By tracking these values, you can identify opportunities to optimise energy production schedules, adjust bidding strategies, and maximise revenue potential. The insights help you understand market dynamics, ensuring you make data-driven decisions to enhance the profitability of your portfolio.
Production represents the actual energy output from your renewable assets. By analyzing this data on a monthly granularity, you gain insights into your annual production profile, allowing you to assess the performance of your assets. This view helps you evaluate how well your assets are performing relative to expectations and compare current outputs to those from previous months and years.
Tracking production trends over time enables you to identify seasonal patterns, measure improvements or declines in efficiency, and ensure your assets are meeting their targets. These insights are critical for optimizing operations, planning maintenance, and making informed decisions about future investments.
Hourly revenue is calculated by taking the nomination profile (the energy you plan to deliver) and multiplying it by the day-ahead market price, adjusted for any imbalance costs incurred for missing your nominations.
This approach enables you to forecast revenue for the next 24 hours based on your nominations while comparing it to actual revenues as production unfolds. This comparison highlights discrepancies between forecasts and reality, providing actionable insights to refine your nomination strategies and enhance revenue accuracy over time.
Hourly production compares your nomination line—your forecasted energy delivery moving into the future—with the actual production recorded by your asset or meter. This comparison reveals the gap between predicted and actual performance, helping you identify opportunities to refine your forecasts.
By closely monitoring these differences, you can make proactive adjustments to your nominations, improve forecast accuracy, or implement hedging strategies to mitigate potential risks. This level of insight is crucial for maximizing revenue, minimizing imbalance costs, and maintaining a well-optimized energy portfolio.