Telecommunications carriers suffer large-scale outages that impact hundreds of thousands of subscribers by the improper deployment or operation of otherwise faulttolerant designs. This paper gives examples of such outages in telecommunications signaling, transmission, and power systems. In spite of seven years industry tracking of largescale outages at the national level, the survivability of t...

In order to meet ever-increasing customer service expectations, electric utilities must continuously improve the reliability of their electric distribution systems. Over the last decade, utilities have invested in digital technologies that give them near-real time readings on the health of their electric grid. This data is incredibly useful during major storm outages, but the flood of data pour...

The Effect of Power Outages and Cheap Talk on Willingness to Pay to Reduce Outages Using an open-ended contingent valuation survey, we analyze how (i) experience of a power outage due to one of the worst storms ever to hit Sweden and (ii) a cheap talk script affect respondents’ WTP to avoid power outages. Experience significantly increases and a cheap talk script decreases the proportion of res...

This paper proposes a new strategy at the system level to evaluate and mitigate power system cascading outages adaptability considering protection system hidden failure. An explicit probability model of protection system hidden failures is established to demonstrate its effects on power system adaptability. The event tree is used to analyse the cascading outages sequences. Some adaptability ind...

using a choice experiment survey, the marginal willingness to pay (wtp) among iranian households to avoid power outages is estimated. the results indicate that households prefer lower price of alternatives and the low duration and frequency of outages, and the factors of outage day, outage time and warning in advance of outage are important to households' preferences. moreover, the conditi...

In this paper we describe a novel approach to detecting power outages that utilizes social media platform users as “social sensors” for virtual detection of power outages. We present the underlying methodology based on analyzing Twitter and other social media data that detects bursts in tweets related to the power outages. The proposed methodology was implemented and deployed by a major company...