Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory Constraints
Building AI trading systems that obey Europe's electricity market rules
European electricity markets operate under multiple layers of regulation and physical constraints that existing AI systems ignore. This paper maps out the actual architecture these markets use—across forward contracts, day-ahead auctions, minute-by-minute trading, and emergency balancing—and shows where current systems fail to coordinate across borders. It then proposes a formal design for AI that works within these constraints rather than around them, with built-in safeguards and audit trails.
Electricity trading errors cascade across interconnected grids and can cause blackouts or price spikes affecting millions. Current AI systems don't account for Europe's complex web of regulations (REMIT, MiFID II, EMIR) and physical limits on power flow between countries, creating blind spots where traders can unknowingly violate rules or expose markets to risk. This framework lets traders use AI to move faster and smarter while staying inside legal and operational boundaries—reducing both compliance failures and the coordination breakdowns that currently happen at borders.