Course Overview
A specialized course on data preprocessing techniques for converting daily electricity values to hourly time series. The course teaches how, from a dataset that has 365 values for electricity demand or generation, we can generate an equivalent dataset that has 8760 values, one value for each hour of the year (the year has 8760 hours). You will use Python to implement this. This operation is useful when preparing the data for optimization problems (which usually use 8760 values).
Key Details
- Prerequisites: None
- Duration: 46 minutes
Price: 50 GBP
Access: Lifetime
All code downloadable
30 minutes live session (video/screenshare) with Dr. Spyros included
- Prerequisites: None
- Video Duration: 46 minutes
- Last Updated: September 2025
Price: 50 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
