Next Article in Journal
A Data Set of Portuguese Traditional Recipes Based on Published Cookery Books
Previous Article in Journal
Uttarakhand Medicinal Plants Database (UMPDB): A Platform for Exploring Genomic, Chemical, and Traditional Knowledge
Article Menu

Export Article

Open AccessData Descriptor

RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis

1
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
2
Rainforest Automation, Inc., Burnaby, BC V5G 4P5, Canada
*
Author to whom correspondence should be addressed.
Received: 31 December 2017 / Revised: 8 February 2018 / Accepted: 9 February 2018 / Published: 12 February 2018
View Full-Text   |   Download PDF [1046 KB, uploaded 12 February 2018]   |  

Abstract

Datasets are important for researchers to build models and test how well their machine learning algorithms perform. This paper presents the Rainforest Automation Energy (RAE) dataset to help smart grid researchers test their algorithms that make use of smart meter data. This initial release of RAE contains 1 Hz data (mains and sub-meters) from two residential houses. In addition to power data, environmental and sensor data from the house’s thermostat is included. Sub-meter data from one of the houses includes heat pump and rental suite captures, which is of interest to power utilities. We also show an energy breakdown of each house and show (by example) how RAE can be used to test non-intrusive load monitoring (NILM) algorithms. View Full-Text
Keywords: dataset; residential; smart grid; smart meter; in-home display; IHD; HEMS; non-intrusive load monitoring; disaggregation; NILM dataset; residential; smart grid; smart meter; in-home display; IHD; HEMS; non-intrusive load monitoring; disaggregation; NILM
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Makonin, S.; Wang, Z.J.; Tumpach, C. RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. Data 2018, 3, 8.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Data EISSN 2306-5729 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top