PYTHIA connects market forecasts, asset constraints, dispatch optimization and bid preparation in one workflow, preserving the assumptions that drive each market decision.
Determine charging, discharging and idle periods while respecting SoC, power, cycling and project operating limits.
Translate optimization outputs into bid prices and quantities using forecast basis, margins, market steps and bidding rules.
Review accepted energy, cleared prices, target versus actual SoC and realized market performance after execution.
Respect power limits, SoC boundaries, cycling constraints and operational restrictions throughout the optimization.
Review dispatch behaviour alongside state of charge to understand the operational impact of each optimized decision.
Use configurable forecast percentiles as the pricing basis for buy and sell bids.
Apply buy and sell margins, price bounds, minimum quantities and market tick sizes before bids are prepared.
Transform the optimized asset schedule into structured price and quantity instructions ready for market review and export.
Review bid status, accepted energy and cleared prices against submitted quantities and pricing assumptions.
Compare target and actual state of charge to understand how market outcomes affect the intended battery trajectory.
Review market profit, operating and degradation costs, traded energy and net economic performance for the selected schedule.
