This workflow automates the high-stakes, minute-by-minute decision of when to charge or discharge a battery asset. It eliminates the operational bottleneck of manual traders or static schedules reacting to volatile real-time and day-ahead markets. The savings come from capturing price spreads that human operators miss and from extending battery lifespan by optimizing cycles against a degradation cost model, directly improving the asset's net present value and total cost of ownership.




