Overview
This is an advanced research course specifically for PhD candidates or researchers (PhD).
The course teaches how an electricity grid can be reinforced by deploying conventional technologies and / or smart grid technologies. Regarding conventional technologies, we consider the upgrade of the capacity of existing power lines. Regarding smart grid technologies, we consider Dynamic Line Rating (DLR) and Energy Storage. We also consider two sources of uncertainty. First, the electricity demand is expected to increase over the coming years in an uncertain way. Secondly, the electricity grid includes a wind farm, whose installed capacity is expected to increase also in an uncertain way. The course also provides an introduction to stochastic optimization, Benders decomposition, and the option value of investing in smart grid technologies.
Key Details
- Prerequisites: All the courses in the 'Data Science for Energy' category
- Video Duration: 3 hours, 11 minutes
- Last Updated: September 2025
Price: 250 GBP
Access: Lifetime with updates
Downloads: All code, datasets, and slides included
Support: 120-minute 1-on-1 consultation with instructor included
Certificate: Yes, upon watching all videos, at no extra cost
Format: Private, self-paced, focused learning with no distractions
Community: For networking with other learners, join the dedicated Skool community
Instructor: Dr. Spyros Giannelos, Imperial College London
