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

Data

Stephen Makonin¹  Z. Jane Wang¹  Chris Tumpach² 

[1] Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada;Rainforest Automation, Inc., Burnaby, BC V5G 4P5, Canada;

关键词: dataset;    residential;    smart grid;    smart meter;    in-home display;    IHD;    HEMS;    non-intrusive load monitoring;    disaggregation;    NILM;   

DOI  :  10.3390/data3010008

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown