Data-Driven Power Outage Detection by Social Sensors.

This paper proposes a novel method to detect and locate power outages based on the information collected from social media. Twitter is used as a real-time social sensor in the proposed method. To solve the challenges of detecting a targeted event from the fragmented and noisy tweets, we devise a probabilistic framework to integrate the textual, temporal, and spatial information to identify the eve...