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

被引：60

作者：

Makonin, Stephen ^{[1
]}

Wang, Z. Jane ^{[1
]}

Tumpach, Chris ^{[2
]}

机构：

[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada

[2] Rainforest Automat Inc, Burnaby, BC V5G 4P5, Canada

来源：

DATA | 2018年 / 3卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

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

D O I：

10.3390/data3010008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

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