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 …
[HTML][HTML] Swarm learning anomaly detection framework for cloud data center using multi-channel BiWGAN-GTN and CEEMDAN
L Tang, Y Zhao, C Xue, Z Jiang, W Zou, Y Liang… - Digital Communications …, 2024 - Elsevier
Anomaly detection is an important task for maintaining the performance of cloud data center.
Traditional anomaly detection primarily examines individual Virtual Machine (VM) behavior …
Traditional anomaly detection primarily examines individual Virtual Machine (VM) behavior …
[PDF][PDF] 一种基于时间序列分解和时空信息提取的云服务器异常检测模型
唐伦， 赵禹辰， 薛呈呈， 陈前斌 - Journal of Electronics & Information …, 2022 - jeit.ac.cn
异常检测是维护云数据中心性能的一项重要任务. 云数据中心中运行着大量的云服务器以实现各
种云计算功能. 由于云数据中心的性能取决于云服务的正常运行, 因此检测和分析云服务器中的 …
种云计算功能. 由于云数据中心的性能取决于云服务的正常运行, 因此检测和分析云服务器中的 …
A Cloud Server Anomaly Detection Model Based on Time Series Decomposition and Spatiotemporal Information Extraction
L TANG, Y ZHAO, C XUE, Q CHEN - 电子与信息学报, 2024 - jeit.ac.cn
Anomaly detection is an important task to maintain cloud data center performance. A large
number of cloud servers are running in cloud data centers to implement various cloud …
number of cloud servers are running in cloud data centers to implement various cloud …