Course Overview
A data science course focused on analyzing and filtering grid reinforcement options for energy systems. The course teaches how data science is used in the datasets of energy companies with information about grid reinforcement. For example, these datasets include information about the construction of new power lines, new substations, new storage units, new power stations, and combinations of such investments. Out of a large dataset of candidate reinforcement alternatives, learn how data science is applied to narrow down to fewer such alternatives. This smaller set of candidate reinforcements is then given as input to an optimization model. The solutions are compared using Python (you will learn how).
Key Details
- Prerequisites: None
- Video Duration: 1 hour, 57 minutes
- Last Updated: September 2025
Price: 75 GBP
Access: Lifetime with updates
Downloads: All code, datasets, and slides included
Support: Direct access to 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
