Taking a closer look at electricity consumption with the help of artificial intelligence

Using non-intrusive load monitoring (NILM), it is possible to analyse which devices in a household are currently consuming electricity without having to attach separate measuring instruments to all of the consumers. Emir Sinanović, a university assistant in the Smart Grids working group at the Department of Networked and Embedded Systems, hopes to combine this analysis with a large-language model that works rather like ChatGPT.

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Organising energy at home

Energy management systems are designed to support people’s efforts to consume less electricity. However, as Smart Grids expert Wilfried Elmenreich explains, these systems are still grappling with a range of issues. Together with his team of researchers he is looking at simple ways to ensure that anyone can use these systems.

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