|Title||Using data from connected thermostats to track large power outages in the United States|
|Publication Type||Journal Article|
|Year of Publication||2019|
|Authors||Alan K Meier, Tsuyoshi Ueno, Marco Pritoni|
|Keywords||electricity, hurricane, metrics, Resilience, SAIDI, sensor, smart grid|
The detection of power outages is an essential activity for electric utilities. A large, national dataset of Internet-connected thermostats was used to explore and illustrate the ability of Internet-connected devices to geospatially track outages caused by hurricanes and other major weather events. The method was applied to nine major outage events, including hurricanes and windstorms. In one event, Hurricane Irma, a network of about 1,000 thermostats provided quantitatively similar results to detailed utility data with respect to the number of homes without power and identification of the most severely affected regions. The method generated regionally uniform outage data that would give emergency authorities additional visibility into the scope and magnitude of outages. The network of thermostat-sensors also made it possible to calculate a higher resolution version of outage duration (or SAIDI) at a level of customer-level visibility that was not previously available.
|Short Title||Applied Energy|