Extracting Operating Modes from Building Electrical Load Data: Preprint

Luigi Gentile Polese

Research output: Contribution to conferencePaper


Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insightsinto device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.
Original languageAmerican English
Number of pages8
StatePublished - 2012
Event2011 IEEE Green Tech Conference - Baton Rouge, Louisiana
Duration: 14 Apr 201115 Apr 2011


Conference2011 IEEE Green Tech Conference
CityBaton Rouge, Louisiana

NREL Publication Number

  • NREL/CP-5500-49636


  • buildings
  • clustering
  • miscellaneous electrical loads
  • mode extraction
  • system characterization


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