H
Huiping Cao
Researcher at New Mexico State University
Publications - 61
Citations - 1904
Huiping Cao is an academic researcher from New Mexico State University. The author has contributed to research in topics: Computer science & Graph (abstract data type). The author has an hindex of 15, co-authored 57 publications receiving 1580 citations. Previous affiliations of Huiping Cao include Arizona State University & University of California, Santa Barbara.
Papers
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Journal ArticleDOI
Supervisory Protection and Automated Event Diagnosis Using PMU Data
TL;DR: In this article, a new framework for supervisory protection and situational awareness to enhance grid operations and protection using modern wide-area monitoring systems is presented, which analyzes only the PMU data with the strongest or the most prominent disturbance signature.
Journal ArticleDOI
Comprehensive Clustering of Disturbance Events Recorded by Phasor Measurement Units
TL;DR: In this paper, the authors used actual disturbance files stored in the database of a North American utility from 2007 through 2010 to determine how many classes (types of disturbances) the disturbance files contain.
Journal ArticleDOI
Efficient Compression of PMU Data in WAMS
TL;DR: Since compression parameters need to be adjusted to compress critical disturbance information with high fidelity, an automated but simple statistical change detection technique is proposed to identify disturbance data.
Proceedings ArticleDOI
Discovery of Collocation Episodes in Spatiotemporal Data
TL;DR: This work formally defines the problem of mining collocation episodes and proposes two scaleable algorithms for its efficient solution and empirically evaluates the performance of the proposed methods using synthetically generated data that emulate real-world object movements.
Book ChapterDOI
Discovering Partial Periodic Patterns in Discrete Data Sequences
TL;DR: A new structure, the abbreviated list table (ALT), is proposed, and several efficient algorithms to compute the periods and the patterns, that require only a small number of passes are presented.