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Jan 20, 2020 ， Utilizing PMU measurements, this article develops a data-driven approach, based on text-mining methodologies, for classifying transient events ...
Missing: Situation Recognition
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Thus, a novel data-driven algorithm based on local outlier factor (LOF) is proposed in this work to detect and locate events in power systems using reduced PMU ...
Sep 16, 2010 ， Chapter 3, discusses how PMU information can be used within existing power flow algorithms to enhance system situational awareness in situations ...
With PMU technology, measurement data can be analyzed to obtain information such as real-time power system network monitoring and control, early warning systems ...
Missing: Situation | Show results with:Situation
This paper proposes a combined method for an online voltage security assessment in which the dimension of the token data from phasor measurement units (PMUs) ...
Mar 27, 2024 ， This paper presents an innovative scheme to find a new way of power system protection, by combining PMU technology with machine learning.
Feb 12, 2019 ， We introduce a novel data-driven event detection technique to extract events from the extremely large collection of raw micro-PMU data.
Missing: Situation | Show results with:Situation
This dissertation contributes to the development of advanced analytical methods for evaluation of dynamic performance based on PMU data over a time window.
Detecting power system events with supervised machine learning algorithms requires a large amount of high quality training labels (confirmed events).
Missing: Situation Recognition
Jan 8, 2024 ， The proposed method was developed using data mining and machine learning with the time series voltage magnitude data from PMU. The proposed ...
Missing: Situation Recognition