Not having a perfect forecast bias and the arrival of unforeseen events shouldn’t present optimal generation decisions.
The stochastic unit commitment feature guides users in making more optimal unit commitment decisions for the next period given the arrival of unforeseen events.
Most modellers assume that their perfect forecast bias is an acceptable starting point for decisions running into the next period ahead. But, we recognise that it’s better not to fight this deficiency nor to be phased by unforeseen events. Further assistance in this approach can be achieved through automation.