Demo Abstract: A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK

被引：7

作者：

Batra, Nipun ^{[1
]}

Kukunuri, Rithwik ^{[1
]}

Pandey, Ayush ^{[2
]}

Malakar, Raktim ^{[3
]}

Kumar, Rajat ^{[4
]}

Krystalakos, Odysseas ^{[5
]}

Zhong, Mingjun ^{[6
]}

Meira, Paulo ^{[7
]}

Parson, Oliver ^{[8
]}

机构：

[1] IIT Gandhinagar, Gandhinagar, India

[2] NIT Agartala, Agartala, India

[3] IIEST Shibpur, Sibpur, India

[4] DAIICT, Gandhinagar, Gujarat, India

[5] Aristotle Univ Thessaloniki, Thessaloniki, Greece

[6] Univ Lincoln, Lincoln, England

[7] Univ Estadual Campinas, Campinas, SP, Brazil

[8] Centr Hive Ltd, London, England

来源：

BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION | 2019年

关键词：

energy disaggregation; non-intrusive load monitoring; smart meters;

D O I：

10.1145/3360322.3360999

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Non-intrusive load monitoring (NILM) or energy disaggregation involves separating the household energy measured at the aggregate level into constituent appliances. The NILM toolkit (NILMTK) was introduced in 2014 towards making NILM research reproducible. NILMTK has served as the reference library for data set parsers and reference benchmark algorithm implementations. However, few publications presenting algorithmic contributions within the field went on to contribute implementations back to the toolkit. This work presents a demonstration of a new version of NILMTK [2] which has a rewrite of the disaggregation API and a new experiment API which lower the barrier to entry for algorithm developers and simplify the definition of algorithm comparison experiments. This demo also marks the release of NILMTK-contrib: a new repository containing NILMTK-compatible implementations of 3 benchmarks and 9 recent disaggregation algorithms. The demonstration covers an extensive empirical evaluation using a number of publicly available data sets across three important experiment scenarios to showcase the ease of performing reproducible research in NILMTK.

引用

页码：358 / 359

页数：2

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