Machine Learning in Power Systems: Is It Time to Trust It?

Journal article (2022)

Authors

Spyros Chatzivasileiadis Technical University of Denmark
Andreas Venzke Technical University of Denmark
J.B. Stiasny Technical University of Denmark
George S. Misyris Technical University of Denmark
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Published Date

2022

Language

English

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Abstract

We experience the power of machine learning (ML) in our everyday lives - be it picture and speech recognition, customized suggestions by virtual assistants, or just unlocking our phones. Its underlying mathematical principles have been applied since the middle of the last century in what is known as statistical learning. However, the enormous increase in computational power, even in devices as small as a smartphone, has enabled significant advances and wide adoption of ML in nearly every part of our lives and the scientific world.