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Title: Harmonic Signals Dataset

Abstract

The Harmonic Signals Dataset (HSD) consists of one-dimensional time series data collected from current sensors with a goal of providing data for research and development of Non-Intrusive Load Monitoring (NILM) with high sample rate (800kHz) sensors. NILM seeks to detect and characterize electrical equipment operating within a facility by sensing changes in electrical current on the building power system associated with the equipment. To provide data with a known ground truth, but with the realism of a signal introduced within a building facility, a series of known ground truth signals were injected as voltage into the power system of a building and measurements of the signals at multiple locations across the building power system were made with electrical current sensors.

Authors:
; ; ; ; ;
  1. ORNL-OLCF
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
National Nuclear Security Administration (NNSA); Office of Science (SC)
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 42 ENGINEERING; 47 OTHER INSTRUMENTATION; 99 GENERAL AND MISCELLANEOUS; NILM; Non Intrusive Load Monitoring; current transformer; electrical signals; harmonic analysis
OSTI Identifier:
1969518
DOI:
https://doi.org/10.13139/ORNLNCCS/1969518

Citation Formats

Adams, Mark B, Sheets, Gregory, Bingham, Philip, Taylor, Mason, Baldwin, Michelle, and Stewart, Scott L. Harmonic Signals Dataset. United States: N. p., 2023. Web. doi:10.13139/ORNLNCCS/1969518.
Adams, Mark B, Sheets, Gregory, Bingham, Philip, Taylor, Mason, Baldwin, Michelle, & Stewart, Scott L. Harmonic Signals Dataset. United States. doi:https://doi.org/10.13139/ORNLNCCS/1969518
Adams, Mark B, Sheets, Gregory, Bingham, Philip, Taylor, Mason, Baldwin, Michelle, and Stewart, Scott L. 2023. "Harmonic Signals Dataset". United States. doi:https://doi.org/10.13139/ORNLNCCS/1969518. https://www.osti.gov/servlets/purl/1969518. Pub date:Wed May 10 00:00:00 EDT 2023
@article{osti_1969518,
title = {Harmonic Signals Dataset},
author = {Adams, Mark B and Sheets, Gregory and Bingham, Philip and Taylor, Mason and Baldwin, Michelle and Stewart, Scott L},
abstractNote = {The Harmonic Signals Dataset (HSD) consists of one-dimensional time series data collected from current sensors with a goal of providing data for research and development of Non-Intrusive Load Monitoring (NILM) with high sample rate (800kHz) sensors. NILM seeks to detect and characterize electrical equipment operating within a facility by sensing changes in electrical current on the building power system associated with the equipment. To provide data with a known ground truth, but with the realism of a signal introduced within a building facility, a series of known ground truth signals were injected as voltage into the power system of a building and measurements of the signals at multiple locations across the building power system were made with electrical current sensors.},
doi = {10.13139/ORNLNCCS/1969518},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 10 00:00:00 EDT 2023},
month = {Wed May 10 00:00:00 EDT 2023}
}