High-Frequency, Multiclass Nonintrusive Load Monitoring for Grid-Interactive Residential Buildings

Blake Lundstrom, Govind Saraswat, Murti Salapaka

Research output: NRELPoster


Smart buildings with net-load metering and control capabilities can provide valuable flexibility to grid operators. This article develops a novel approach for high-frequency, multiclass nonintrusive load monitoring (NILM) that enables effective net-load monitoring capabilities with minimal additional equipment and cost. Relative to existing NILM work, the proposed solution operates at a faster timescale, providing accurate multiclass state predictions for each 60-Hz ac cycle without relying on event-detection techniques. The approach is validated using a test bed with residential appliances and shown to have high accuracy, good generalization properties, and sufficient response time to support building grid-interactive control at fast timescales relevant to the provision of grid frequency support services.
Original languageAmerican English
StatePublished - 2020

Publication series

NamePresented at the Innovative Smart Grid Technologies (ISGT 2020) North America, 17-20 February 2020, Washington, D.C.

NREL Publication Number

  • NREL/PO-5D00-76068


  • feature extraction
  • grid-interactive
  • multiclass classification
  • NILM
  • nonintrusive load monitoring
  • smart buildings


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