High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings

Blake Lundstrom; Govind Saraswat; Murti V. Salapaka

doi:10.1109/ISGT45199.2020.9087745

High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings

Blake Lundstrom, Govind Saraswat, Murti V. Salapaka

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728131030
DOIs	https://doi.org/10.1109/ISGT45199.2020.9087745
State	Published - Feb 2020
Event	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States Duration: Feb 17 2020 → Feb 20 2020

Publication series

Name	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

Conference

Conference	2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Country/Territory	United States
City	Washington
Period	2/17/20 → 2/20/20

Bibliographical note

Funding Information:
This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

Funding Information:
This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016.

Publisher Copyright:
© 2020 IEEE.

Keywords

Feature extraction
Grid-interactive
Multiclass classification
Nonintrusive load monitoring (NILM)
Smart buildings

Access

10.1109/ISGT45199.2020.9087745

OpenUrl availability

Full text

Cite this

Lundstrom, B., Saraswat, G., & Salapaka, M. V. (2020). High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings. In 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 Article 9087745 (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT45199.2020.9087745

High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings. / Lundstrom, Blake; Saraswat, Govind; Salapaka, Murti V.
2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9087745 (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lundstrom, B, Saraswat, G & Salapaka, MV 2020, High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings. in 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020., 9087745, 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020, Washington, United States, 2/17/20. https://doi.org/10.1109/ISGT45199.2020.9087745

Lundstrom B, Saraswat G, Salapaka MV. High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings. In 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9087745. (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020). doi: 10.1109/ISGT45199.2020.9087745

Lundstrom, Blake ; Saraswat, Govind ; Salapaka, Murti V. / High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings. 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020).

@inproceedings{c9ee5f5975d64659be5c9f6b6fbd07d6,

title = "High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings",

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.",

keywords = "Feature extraction, Grid-interactive, Multiclass classification, Nonintrusive load monitoring (NILM), Smart buildings",

author = "Blake Lundstrom and Govind Saraswat and Salapaka, {Murti V.}",

note = "Funding Information: This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. Funding Information: This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 ; Conference date: 17-02-2020 Through 20-02-2020",

year = "2020",

month = feb,

doi = "10.1109/ISGT45199.2020.9087745",

language = "English (US)",

series = "2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020",

}

TY - GEN

T1 - High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings

AU - Lundstrom, Blake

AU - Saraswat, Govind

AU - Salapaka, Murti V.

N1 - Funding Information: This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes. Funding Information: This work was authored in part by Alliance for Sustainable Energy, LLC, the Manager and Operator of the National Renewable Energy Laboratory for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the Advanced Research Projects Agency-Energy (ARPA-E) under Grant Nos. DE-AR000701 and DE-AR0001016. Publisher Copyright: © 2020 IEEE.

PY - 2020/2

Y1 - 2020/2

N2 - 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.

AB - 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.

KW - Feature extraction

KW - Grid-interactive

KW - Multiclass classification

KW - Nonintrusive load monitoring (NILM)

KW - Smart buildings

UR - http://www.scopus.com/inward/record.url?scp=85086269653&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85086269653&partnerID=8YFLogxK

U2 - 10.1109/ISGT45199.2020.9087745

DO - 10.1109/ISGT45199.2020.9087745

M3 - Conference contribution

AN - SCOPUS:85086269653

T3 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

BT - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020

Y2 - 17 February 2020 through 20 February 2020

ER -

High-frequency, multiclass nonintrusive load monitoring for grid-interactive residential buildings

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this