Han Shao
About
Han Shao is a PhD candidate at the Department of Electric Power Engineering at NTNU, and also a Marie Sktodowska-Curie Early Stage Researcher (ESR) taking part in InnoCyPES project.
Her research topic is "Real-time analytics on high fidelity synchronized measurements". The aim of her PhD is to develop real-time Power Quality (PQ) disturbance detection and classification algorithms in the electric grid integrating offshore wind energy, by using an emerging technique - Synchronized Waveform Measurement (SWM).
Publications
2024
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Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2024)
Automatic Power Quality Disturbance Feature Extraction Using Fast Iterative Filtering.
Academic chapter/article/Conference paper
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Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2024)
Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet.
Academic chapter/article/Conference paper
2023
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Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2023)
Power quality monitoring in electric grid integrating offshore wind energy: A review.
Renewable and Sustainable Energy Reviews
Academic literature review
Journal publications
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Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2023)
Power quality monitoring in electric grid integrating offshore wind energy: A review.
Renewable and Sustainable Energy Reviews
Academic literature review
Part of book/report
-
Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2024)
Automatic Power Quality Disturbance Feature Extraction Using Fast Iterative Filtering.
Academic chapter/article/Conference paper
-
Shao, Han;
Henriques, Rui;
Morais, Hugo;
Tedeschi, Elisabetta.
(2024)
Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet.
Academic chapter/article/Conference paper
Outreach
2023
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PosterShao, Han; Tedeschi, Elisabetta. (2023) Power Quality Monitoring in Electric Grid Integrating Offshore Wind Energy. EERA DeepWind Conference , Trondheim, Norway 2023-01-18 - 2023-01-20