An AI-based, Error-bounded Compression Scheme for High-frequency Power Quality Disturbance Data

The implementation of modern monitoring systems for power quality disturbances have the potential to generate substantial amounts of data, reaching a point where transmission and storage of high-frequency measurements become impractical. This research paper addresses this challenge by presenting a n...

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Hauptverfasser:	Stroot, Markus, Seiler, Stefan, Lutat, Philipp, Ulbig, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Systems and Control
Online-Zugang:	Volltext bestellen
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