Dexter
Asset Optimisation by Dexter - Video
Dexter offers an imbalance forecaster and an optimal policy algorithm to trade flexible assets in the ultra-short-term range, so almost real-time. Flexible assets are for example large-scale batteries, curtailable renewable parks or flexible combined-heat-and-power units.
The revenues coming from those assets are being obtained from the day-ahead and intra-day market, but with Dexter's algorithms can be augmented by trading on the imbalance market in real-time.
The imbalance forecaster for the Netherlands is currently 86% accurate with respect to a perfect forecast. What does this mean?
When looking at a 1 MW/1MWh battery, this means that the battery is able to achieve a gross margin of €73k per year, this is including degradation costs.
With these algorithms energy companies maximise revenues. But what is equally important is that they help balancing the grid. Grid balancing is one of the biggest challenges in the energy transition.
The revenues coming from those assets are being obtained from the day-ahead and intra-day market, but with Dexter's algorithms can be augmented by trading on the imbalance market in real-time.
The imbalance forecaster for the Netherlands is currently 86% accurate with respect to a perfect forecast. What does this mean?
When looking at a 1 MW/1MWh battery, this means that the battery is able to achieve a gross margin of €73k per year, this is including degradation costs.
With these algorithms energy companies maximise revenues. But what is equally important is that they help balancing the grid. Grid balancing is one of the biggest challenges in the energy transition.
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