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 minimize short-term procurement costs for DISCOMs while protecting against uncertainty.
Ingests real-time market feeds, contractual limits, and historical price volatility data to construct a comprehensive system model for the DISCOM.
Utilizes Multi-scenario Stochastic Programming and Conditional Value at Risk (CVaR) modeling to balance procurement cost and risk exposure while respecting contractual and regulatory constraints.
Delivers optimal market bids and schedules for procurement derived optimally from multiple scenarios.
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