@inproceedings{376b5caa944943f8bdad80c2a6e3dc3e,
title = "Detection of Data Center Load Loss Event with Wide-Area-Monitoring-System",
abstract = "The rapid increase in load from data centers and cryptocurrency mining facilities in the United States, poses significant risks to power grid stability and challenges to balancing authorities. This paper proposes a novel approach for the identification of data center load loss events using FNET, a wide-area monitoring system that delivers real-time event information. The methodology focuses on analyzing voltage patterns and further comparing these events with similar characteristic occurrences, such as those observed in pump storage systems. The proposed solution aims to assist power regulatory agencies in improving grid stability and response effectiveness.",
keywords = "Data Center, Event Detection, FNET, WAMS",
author = "Qian Liu and Xinlan Jia and Sun Biao and Saurav Dulal and Chong Shen and Yu Liu and Chujie Zeng and Yuru Wu and Yilu Liu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2025 ; Conference date: 20-10-2025 Through 23-10-2025",
year = "2025",
doi = "10.1109/ISGTEurope64741.2025.11305297",
language = "English",
series = "IEEE PES Innovative Smart Grid Technologies Conference Europe",
publisher = "IEEE Computer Society",
booktitle = "2025 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2025",
}