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 forecasting for specific subgroups, clusters and even on a per-connection basis. Some key points and features of the Software-as-a-Solution includes: