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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Yuxun Zhou

University of California, Berkeley


Han Zou

University of California, Berkeley


Reza Arghandeh

Florida State University


Weixi Gu

Tsinghua University


Costas Spanos

University of California, Berkeley


DOI:

10.1609/aaai.v32i1.11632


Abstract:

In this study we consider the problem of outlier detection with multiple co-evolving time series data. To capture both the temporal dependence and the inter-series relatedness, a multi-task non-parametric model is proposed, which can be extended to data with a broader exponential family distribution by adopting the notion of Bregman divergence. Albeit convex, the learning problem can be hard as the time series accumulate. In this regards, an efficient randomized block coordinate descent (RBCD) algorithm is proposed. The model and the algorithm is tested with a real-world application, involving outlier detection and event analysis in power distribution networks with high resolution multi-stream measurements. It is shown that the incorporation of inter-series relatedness enables the detection of system level events which would otherwise be unobservable with traditional methods.

Topics: AAAI

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HOW TO CITE:

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis AAAI 2018, .

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos (2018). Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. 2018. Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. (2018) "Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos, "Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis", AAAI, p., 2018.

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. "Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. "Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Yuxun Zhou||Han Zou||Reza Arghandeh||Weixi Gu||Costas Spanos. Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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