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title
Deep Learning Applied to PMU Data in Power Systems
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This is the home page's excerpt
site name
Deep Learning Applied to PMU Data in Power Systems
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2026-02-28 03:03:23
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Deep Learning Applied to PMU Data in Power Systems | Pedro Emanuel Almeida Cardoso Deep Learning Applied to PMU Data in Power Systems Pedro Emanuel Almeida Cardoso Menu Skip to content Home Author Supervisor Documents Overview Webpage created under the purpose of a Master Dissertation entitled Deep Learning Applied to PMU Data in Power Systems . The work was developed in a partnership between FEUP – Faculdade de Engenharia da Universidade do Porto – and INESC TEC – Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência. The analysis of power system disturbances is fundamental to ensure the reliability and security of the supply. In fact, capturing the sequence of system states over a disturbance is an increased value to understand its origin. Phasor Measurement Units (PMUs) have the ability to record these fast transients with high precision, by providing synchronized measurements at high sampling rates. Indeed, these events can occur in...
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