Real-time and post-trading performance analysis comparing actual, optimal and any what-if scenarios
QuantRisk optimization automatically runs 24/7. It is followed by real-time or day-ahead (sub)-hourly position and detailed valuation of nodal P&L, buy-sell, fuel and other costs for each generation or dispatch node.
P&L valuation from a performance analysis perspective, benchmarking actual against optimal scenarios, with the difference representing expected gains/losses. Results are displayed in live web-panels.
Performance analysis going forward to guide trading (generation, bidding, dispatch) decisions in real-time or DA. Performance analysis post-trading for management to refine strategies and monitor trading performance.
Electricity market is a zero-sum game with constraints and flexibilities. Arbitrage opportunities resulting from changes in the spot market can be captured via optimization. Running post-trading backtesting optimization measures the performance of actual trading versus the best possible optimal strategy that was also available but missed by the traders. The difference between actual and hypothetical optimal measures trading opportunity costs, or potential extra profits that could have been achieved and were lost.