AI for Peer-to-Peer Energy Trading & Market Clearing | ML Knowledge Hub

APIs for settlement and compliance reporting.

You can integrate AMI/telemetry and tariff data within mysimulator.uk to develop accurate forecasting models, allowing you to predict future energy demand and optimize resource allocation effectively. This integration enables a more sophisticated understanding of consumption patterns and supports proactive decision-making.

The clearing engine can be deployed in advisory mode initially, allowing you to test settlement processes without automatically executing trades. Following this validation phase, you can transition to full operational mode to ensure accurate and timely settlement of energy transactions.

To begin a pilot program incorporating grid-aware constraints, start by implementing these features alongside credit and fraud checks. This approach allows you to assess the impact of real-time grid data on settlement accuracy while simultaneously mitigating potential risks associated with fraudulent activities.