We present a specialized scenario generation method that utilizes forecast information to generate scenarios for day-ahead scheduling problems. In particular, we use normalizing flows wind power by sampling from conditional distribution uses speed forecasts tailor the specific day. apply generated in stochastic bidding problem of electricity producer and analyze whether yield profitable decisio...

With the increase in penetration of wind generation on interconnected power systems, importance ramp forecasting has continuously grown. Large ramps caused by sudden weather changes raise more concerns due to their significant impact system economics and stability. Correct forecasts can help operators utility companies tradeoff risks when scheduling energy electricity market. In this paper, a d...

We consider a dynamic planning problem for the transport of elderly and disabled people. The focus is on a decision to make one day ahead: which requests to serve with own vehicles, and which ones to assign to subcontractors, under uncertainty of late requests which are gradually revealed during the day of operation. We call this problem the Dynamic Day-ahead Paratransit Planning problem. The d...