Down for failure: Active power status monitoring

Abstract

Despite society’s strong dependence on electricity, power outages remain prevalent. Standard methods for directly measuring power availability are complex, often inaccurate, and prone to attack. This paper explores an alternative approach to identifying power outages through intelligent monitoring of IP address availability. In finding these outages, we explore the trade-off between the accuracy of detection and false alarms.We begin by experimentally demonstrating that static, residential Internet connections serve as good indicators of power, as they are mostly active unless power fails and rarely have battery backups. We construct metrics that dynamically score the reliability of each residential IP, where a higher score indicates a higher correlation between the IP’s availability and its regional power. We then select and monitor subsets of residential IPs and evaluate the exactitude with which they indicate current county power status.Using data gathered during the power outages caused by Hurricane Florence, we demonstrate that we can track power outages at different granularities (state and county), in both sparse and dense regions. By comparing our detections with the reports gathered from power utility companies, we achieve an average detection accuracy of 90%, where we also show some of our false alarms and missed outage events could be due to imperfect ground truth data. Therefore, our method can be used as a complementary technique for power outage detection.