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01/25/2022
Self-supervised Point Cloud Registration with Deep Versatile Descriptors
Recent years have witnessed an increasing trend toward solving point clo...
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09/14/2020
A Hybrid Framework for Topology Identification of Distribution Grid with Renewables Integration
Topology identification (TI) is a key task for state estimation (SE) in ...
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07/21/2019
Early Anomaly Detection in Power Systems Based on Random Matrix Theory
It is important for detecting the anomaly in power systems before it exp...
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05/06/2019
Estimation of high-dimensional factor models and its application in power data analysis
In dealing with high-dimensional data, factor models are often used for ...
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08/27/2018
Adversarial Feature Learning of Online Monitoring Data for Operation Reliability Assessment in Distribution Network
With deployments of online monitoring systems in distribution networks, ...
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01/05/2018
Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
In this paper, a data-driven Methodology is developed for the incipient ...
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06/20/2017