Disaggregating Smart Meter Data to Identify Electric Loads and Control Opportunities

Research output: Contribution to conferencePaper


As utility data, such as smart meter data, becomes more broadly available, there is general interest in using it to improve utility operations and enable adoption of other advanced technology - such as solar photovoltaics (PV), energy storage, and controls. We explore one such use case - identifying electric resistance water heaters from smart meter data, as well as characterizing their potential for load-shifting to support grid voltage stability under high-penetration PV adoption. This paper shows the limitation of typical 15-minute data, and how shortterm capture of additional 1-minute data is needed to enable the desired application. Results indicate about 4 kWh water heating load can be shifted to align with peak sun hours in a low use home. This methodology is an example, and can be adapted to other grid-integrated efficient building use cases.
Original languageAmerican English
Number of pages4
StatePublished - 2018
Event4th International Workshop on Non-Intrusive Load Monitoring - Austin, Texas
Duration: 7 Mar 20188 Mar 2018


Conference4th International Workshop on Non-Intrusive Load Monitoring
CityAustin, Texas

Bibliographical note

Available online from the workshop website: http://nilmworkshop.org/2018/

NREL Publication Number

  • NREL/CP-5500-70891


  • load disaggregation
  • non-intrusive load monitoring
  • photovoltaics
  • smart meter


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