Work Description

Title: Data Files for Real-Time Energy Disaggregation of a Distribution Feeder's Demand Open Access Deposited

http://creativecommons.org/licenses/by/4.0/
Attribute Value
Methodology
  • This data set corresponds to that used within "Real-Time Energy Disaggregation of a Distribution Feeder's Demand Using Online Learning", which is available on arXiv at ( https://arxiv.org/abs/1701.04389). The contents were derived from original data from the Pecan Street Dataport, the Pacific Gas & Electric Company, and NOAA. Please refer to the paper for details on the data processing and relevant citations for the original data sources.
Description
  • This data set contains the relevant time series for constructing and testing electricity load models within the related paper. The files within are a '.mat' file that contains the data and a 'readme.txt' file detailing the contents of the data.
Creator
Depositor
  • gsledv@umich.edu
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
ORSP grant number
  • #ECCS-1508943
Keyword
Date coverage
  • 2015-05-02 to 2015-08-18
Citations to related material
Resource type
Last modified
  • 07/17/2018
Published
  • 07/24/2017
Language
DOI
License
To Cite this Work:
Mathieu, J., Balzano, L., Ledva, G. (2017). Data Files for Real-Time Energy Disaggregation of a Distribution Feeder's Demand [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/Z2668BBC

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