About
Most participants watch the videos at 1.5x speed. Prerequisites: Completion of the "Backwards-Induction Planning for Grid Reinforcement" course. Duration: 1 hour, 25 minutes. Course Description: This is an advanced research course specifically for PhD candidates or researchers (PhD). The course compares Stochastic Optimisation and Backwards Induction in the context of electricity grid reinforcement. Both approaches (Stochastic Optimisation and Backwards Induction) are used for finding the optimal decisions about when and with what technologies to reinforce the electricity grid. The Stochastic Optimization model is implemented using the Xpress Mosel language, while Backwards Induction is implemented in Matlab.