Insights from Smart Meters. Ramp-up, dependability, and short-term persistence of savings from Home Energy Reports | Zendy

Annika Todd | Zendy; Michael Perry | Zendy; Brian Arthur Smith | Zendy; Michael Sullivan | Zendy; Peter Cappers | Zendy; Charles Goldman | Zendy

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Insights from Smart Meters. Ramp-up, dependability, and short-term persistence of savings from Home Energy Reports

Author(s) -

Annika Todd,

Michael Perry,

Brian Arthur Smith,

Michael Sullivan,

Peter Cappers,

Charles Goldman

Publication year - 2015

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/1253718

Subject(s) - computer science , data science , analytics , dependability , big data , efficient energy use , energy (signal processing) , thermostat , engineering , data mining , mechanical engineering , statistics , software engineering , mathematics , electrical engineering

Smart meters, smart thermostats, and other new technologies provide previously unavailable high-frequency and location-specific energy usage data. Many utilities are now able to capture real-time, customer-specific hourly interval usage data for a large proportion of their residential and small commercial customers. These vast, constantly growing streams of rich data (or big data) have the potential to provide novel insights into key policy questions about how people make energy decisions.

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