OptiBid leverages advanced stochastic optimization to solve the complexities of short-term scheduling and power trading. By analyzing price volatility and plant constraints, it generates risk-averse bidding strategies that maximize revenue while protecting against uncertainty.
Ingests real-time market feeds, plant technical parameters, and historical price volatility data to construct a comprehensive system model for the GENCO.
Utilizes Multi-scenario Stochastic Programming and Conditional Value at Risk (CVaR) modeling to balance profit and risk exposure while respecting technical and regulatory constraints.
Delivers optimal market bids and schedules for dispatchable assets derived optimally from multiple scenarios.