What Do Students Study in AI for Power Engineering?

Energy today involves not only physical equipment and networks but also data, forecasts, digital models and intelligent systems.

Students on the 01.04.04 Artificial Intelligence in Electric Power Engineering programme study subjects that help them apply AI to actual industry problems, from data analytics to digital technologies at energy facilities.

The curriculum includes:

Python Programming—coding, libraries and data visualisation.

Data Analytics Technologies—tabular data, time series, images and big data.

Machine Learning in Power Engineering—classification, forecasting, neural networks and other AI methods.

Cybersecurity in Power Engineering—protecting energy facilities from digital threats.

Systems Analysis—working with complex technical systems.

Digital Technologies in Power Engineering—digital substations, standards and intelligent energy facilities.

The programme is intended for people who want to apply AI where decisions affect the reliability, efficiency and development of energy systems, rather than study AI in isolation.

In upcoming posts, we will introduce each course in greater detail and explain the skills students develop.