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)
Other 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
Language
DOI
License
To Cite this Work:
Mathieu, J., Balzano, L., Ledva, G. Data Files for Real-Time Energy Disaggregation of a Distribution Feeder's Demand [Data set]. University of Michigan - Deep Blue.

Relationships

Files (Count: 2; Size: 49.3 MB)

Download All Files (To download individual files, select them in the “Files” panel above)

Download will include text file of metadata.



Globus is for large data sets.   What is Globus?

Analytics