ELEC97077 · Smart Grid Technology
Machine Learning and Data Science for Power Systems
Guest Lecturer · Lecturing, coursework, demonstrations, tutorials, and marking · 5 hours of lectures + 1-hour tutorial
Teaching
Current courses, teaching materials, and previous teaching at Imperial College London.
My teaching focuses on practical machine learning, data science, and optimisation for modern energy systems. Course pages provide concise descriptions, learning outcomes, lecture notes, coursework, and open tutorials.
Current teaching
MECH70039 · Data Science and Digitalisation
Introduction to Machine Learning for Energy Systems
Guest Lecturer · Lecture and hands-on tutorial · 2-hour lecture + 2-hour tutorial
No matching items
Previous teaching
MSc Sustainable Energy Futures
Data Science and Digitalisation in the Energy Sector
Postgraduate Teaching Assistant · Tutorial instruction and assessment
2021–2025
Imperial College Summer School 2026
Introduction to Machine Learning with Examples in Power Systems
Guest Lecturer · Lecturing and group-project tutorials · 6 hours
3rd International Summer School on IBR-Dominated Power Systems
Guest Lecturer
No matching items
Open teaching materials
ML for Power Systems
2025–26 lecture notes
2025–26 lecture notes
Introduction to ML for Energy Systems
2025–26 lecture notes
2025–26 lecture notes
Imperial College Summer School
2026 lecture notes
2026 lecture notes
IBR summer school tutorial
Small-signal stability-constrained unit commitment
Small-signal stability-constrained unit commitment
Hands-on Python tutorial
SVM, PCA, k-means, and Chronos
SVM, PCA, k-means, and Chronos
Previous coursework
ELEC97077 coursework brief
ELEC97077 coursework brief
In the classroom
