An independent central point OPTICS clustering algorithm for semi-supervised outlier detection of continuous glucose measurements
Continuous glucose monitoring (CGM) collects a host of time-series sensor data and is
committed to fully automated systems for glucose control as an essential part. Outlier data in …
committed to fully automated systems for glucose control as an essential part. Outlier data in …
Anomaly detection method for building energy consumption in multivariate time series based on graph attention mechanism
Z Zhang, Y Chen, H Wang, Q Fu, J Chen, Y Lu - Plos one, 2023 - journals.plos.org
A critical issue in intelligent building control is detecting energy consumption anomalies
based on intelligent device status data. The building field is plagued by energy consumption …
based on intelligent device status data. The building field is plagued by energy consumption …
[PDF][PDF] 基于图注意力机制和Transformer 的异常检测
严莉， 张凯， 徐浩， 韩圣亚， 刘珅岐， 史玉良 - 电子学报, 2022 - ejournal.org.cn
异常检测对电力行业的发展有着重要的影响, 如何根据大规模电力数据进行异常检测是重要的
研究热点. 目前, 大多数研究通过聚类或神经网络进行异常检测. 但是这些方法忽略了时序数据之 …
研究热点. 目前, 大多数研究通过聚类或神经网络进行异常检测. 但是这些方法忽略了时序数据之 …
A multivariate time series anomaly detection model based on graph attention mechanism in energy consumption of intelligent buildings
Z Zhang, Y Chen, H Wang, Y Wang… - … on Advanced Cloud …, 2022 - ieeexplore.ieee.org
The problem of anomaly detection in the field of intelligent buildings is very important, such
as using energy consumption data to detect anomalies in intelligent buildings' energy …
as using energy consumption data to detect anomalies in intelligent buildings' energy …