Lessons for Data-Driven Modelling from Harmonics in the Norwegian Grid

Lessons for Data-Driven Modelling from Harmonics in the Norwegian Grid

With the advancing integration of fluctuating renewables, a more dynamic demand-side, and a grid running closer to its operational limits, future power system operators require new tools to anticipate unwanted events. Advances in machine learning and availability of data suggest great potential in u...

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Bibliographic Details
Main Authors: Volker Hoffmann, Bendik Nybakk Torsæter, Gjert Hovland Rosenlund, Christian Andre Andresen
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Algorithms
Subjects:
machine learning
power systems
harmonic distortion
power quality
Online Access:https://www.mdpi.com/1999-4893/15/6/188

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