Learning Objectives

The learning goals for this module are:

  • Understand the concept of scenario generation;
  • Connect optimization and decision making under uncertainty (stochastic optimization);
  • Learn how to represent uncertainty with a scenario tree;
  • Learn how to generate correlated scenarios when trying to forecast more than one variable;
  • Learn how to generate scenarios based on the time series models we learned in R.

Slides

Here is a link to the slide deck used in class.

Recordings

This module is explained in three videos that go over the slides shared and how to generate scenarios in R.




Deliverables

There is no assignment associated with this module.