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

Blake Lundstrom, Govind Saraswat, Murti Salapaka

Research output: Contribution to conferencePaper

3 Scopus Citations

Abstract

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
Number of pages5
DOIs
StatePublished - 2020
Event2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) - Washington, D.C.
Duration: 17 Feb 202020 Feb 2020

Conference

Conference2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
CityWashington, D.C.
Period17/02/2020/02/20

Bibliographical note

See NREL/CP-5D00-74701 for preprint

NREL Publication Number

  • NREL/CP-5D00-77279

Keywords

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

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