About
Most participants watch the videos at 1.5x speed. Prerequisites: All the courses of the "Data Science for Energy" category. Duration: 1 hour, 25 minutes Course Description: This is an advanced research course specifically for PhD candidates or researchers (PhD). Learn about smart grid technologies that can be deployed in electricity grids, namely "soft open point", and "smart chargers" for electric vehicles. Then, use stochastic optimization to find how the investment cost of these technologies affects how many of them are deployed in the electricity grid, under different scenarios for future electricity demand, which is uncertain due to the electrification of transport.
Overview
2. Description of the case
.3 steps
3. Running the study for Soft Open Points
.2 steps
3b. Download the Python code
.1 step
4. Running the study for Smart EV Chargers
.1 step
5. Conclusions
.1 step


