13.3 AI and Energy Data Integration

A key strength of FreCx lies in the combination of AI with the Energy Data Layer.

Energy data collected from real-world systems is processed by AI models to:

• forecast energy production and consumption

• optimize pricing for energy markets

• identify inefficiencies in energy usage

• calculate sustainability metrics

The results of these computations can be fed back into smart contracts, enabling automated actions such as adjusting token issuance based on production levels, triggering settlements in energy marketplaces and optimizing distribution of resources.