Energy portfolios are getting more complex as a result of more renewable energy generation, decentralized energy assets and large-scale electrification.
Dexter's AI-based software enables energy companies and aggregators with diverse portfolios to accurately forecast consumption and production per cluster and even per connection.
Our big-data software platform enables automatic preprocessing, cleaning and scaling of enormous amounts of data to enhance forecasting on different time-scales. Our software enables
energy retailers to control their portfolio and minimize imbalance.
The latest technological developments in big-data infrastructure and artificial intelligence enhance the accuracy of forecasting compared to basic regression methods. Our
technology shows that up to 40% of imbalance costs can be reduced.
These new technologies also enable energy companies to forecasting for specific subgroups, clusters and even on a per-connection basis. Some key points and features of the
- Best weather models are automatically selected and combined
- Automatic handling of incoming and outgoing customers
- Up to 40% lower imbalance costs than standard forecast methods
- Fully automatic and highest security
- Insights & automatic reporting