Benefits of three-phase metering for load disaggregation

Apostolos Vavouris; Lina Stankovic; Vladimir Stankovic; Jiufeng Shi

doi:10.1145/3563357.3566149

Benefits of three-phase metering for load disaggregation

Apostolos Vavouris, Lina Stankovic, Vladimir Stankovic, Jiufeng Shi

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

46 Downloads (Pure)

Abstract

With the ever increasing pace of introduction of energy intensive devices and services, such as electric vehicle (EV) charging and heat pumps, the transition to smart metering for three-phase electric installations for nationwide smart meter roll-outs is underway. In this paper, we explore how three-phase metering can benefit nonintrusive load monitoring (NILM), especially for those appliances that are difficult to disaggregate and not widely reported in the literature. Traditionally, the NILM literature tends to tackle three-phase metering by summing the three phases, without exploiting the potential benefits of load disaggregation per phase. Emphasis is placed on the disaggregation performance and loss that is introduced when using different levels of granularity of low-frequency data. Finally, we augment a public dataset with which phase the appliance is connected to, and release a three-phase electric vehicle dataset from three-phase aggregate measurements.

Original language	English
Title of host publication	Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery (ACM)
Pages	393-397
Number of pages	5
ISBN (Print)	9781450398909
DOIs	https://doi.org/10.1145/3563357.3566149
Publication status	Published - 11 Nov 2022

Publication series

Name	BuildSys '22
Publisher	Association for Computing Machinery (ACM)

Keywords

non-intrusive load monitoring (NILM)
energy disaggregation
deep NILM
3-phase load

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3563357.3566149

Vavouris-etal-NILM-2022-Benefits-of-three-phase-metering-for-load-disaggregationAccepted author manuscript, 618 KBLicence: Strath_1

building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering responsible artificial intelligence co-creatiOn (GECKO) MSCA-ITN-2020
Stankovic, V. & Stankovic, L.
European Commission - Horizon Europe + H2020
1/01/21 → 31/12/24
Project: Research

Smart meter electricity of a Household in Germany with Electric Vehicle Charging Annotation
Vavouris, A. (Creator), Stankovic, L. (Supervisor) & Stankovic, V. (Supervisor), University of Strathclyde, 29 Aug 2022
DOI: 10.15129/c41a6a02-5df5-4ed7-b8e6-6488895d43f7
Dataset
Appliance Phase Identification on ECO Dataset
Vavouris, A. (Creator), Stankovic, L. (Supervisor) & Stankovic, V. (Supervisor), University of Strathclyde, 6 Oct 2022
DOI: 10.15129/deddd9a7-0cff-4db2-8478-42abc93fba9f
Dataset

Benefits of Three-Phase Metering for Load Disaggregation
Apostolos Vavouris (Speaker), Lina Stankovic (Contributor), Vladimir Stankovic (Contributor) & Jiufeng Shi (Contributor)
11 Nov 2022
Activity: Talk or presentation types › Oral presentation

Cite this

@inproceedings{4ed586bc705541c98840b3920c5350b2,

title = "Benefits of three-phase metering for load disaggregation",

abstract = "With the ever increasing pace of introduction of energy intensive devices and services, such as electric vehicle (EV) charging and heat pumps, the transition to smart metering for three-phase electric installations for nationwide smart meter roll-outs is underway. In this paper, we explore how three-phase metering can benefit nonintrusive load monitoring (NILM), especially for those appliances that are difficult to disaggregate and not widely reported in the literature. Traditionally, the NILM literature tends to tackle three-phase metering by summing the three phases, without exploiting the potential benefits of load disaggregation per phase. Emphasis is placed on the disaggregation performance and loss that is introduced when using different levels of granularity of low-frequency data. Finally, we augment a public dataset with which phase the appliance is connected to, and release a three-phase electric vehicle dataset from three-phase aggregate measurements.",

keywords = "non-intrusive load monitoring (NILM), energy disaggregation, deep NILM, 3-phase load",

author = "Apostolos Vavouris and Lina Stankovic and Vladimir Stankovic and Jiufeng Shi",

note = "{\textcopyright}ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation https://doi.org/10.1145/3563357.3566149",

year = "2022",

month = nov,

day = "11",

doi = "10.1145/3563357.3566149",

language = "English",

isbn = "9781450398909",

series = "BuildSys '22",

publisher = "Association for Computing Machinery (ACM)",

pages = "393--397",

booktitle = "Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation",

address = "United States",

}

Benefits of three-phase metering for load disaggregation. / Vavouris, Apostolos ; Stankovic, Lina ; Stankovic, Vladimir et al.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: Association for Computing Machinery (ACM), 2022. p. 393-397 (BuildSys '22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Benefits of three-phase metering for load disaggregation

AU - Vavouris, Apostolos

AU - Stankovic, Lina

AU - Stankovic, Vladimir

AU - Shi, Jiufeng

N1 - ©ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation https://doi.org/10.1145/3563357.3566149

PY - 2022/11/11

Y1 - 2022/11/11

N2 - With the ever increasing pace of introduction of energy intensive devices and services, such as electric vehicle (EV) charging and heat pumps, the transition to smart metering for three-phase electric installations for nationwide smart meter roll-outs is underway. In this paper, we explore how three-phase metering can benefit nonintrusive load monitoring (NILM), especially for those appliances that are difficult to disaggregate and not widely reported in the literature. Traditionally, the NILM literature tends to tackle three-phase metering by summing the three phases, without exploiting the potential benefits of load disaggregation per phase. Emphasis is placed on the disaggregation performance and loss that is introduced when using different levels of granularity of low-frequency data. Finally, we augment a public dataset with which phase the appliance is connected to, and release a three-phase electric vehicle dataset from three-phase aggregate measurements.

AB - With the ever increasing pace of introduction of energy intensive devices and services, such as electric vehicle (EV) charging and heat pumps, the transition to smart metering for three-phase electric installations for nationwide smart meter roll-outs is underway. In this paper, we explore how three-phase metering can benefit nonintrusive load monitoring (NILM), especially for those appliances that are difficult to disaggregate and not widely reported in the literature. Traditionally, the NILM literature tends to tackle three-phase metering by summing the three phases, without exploiting the potential benefits of load disaggregation per phase. Emphasis is placed on the disaggregation performance and loss that is introduced when using different levels of granularity of low-frequency data. Finally, we augment a public dataset with which phase the appliance is connected to, and release a three-phase electric vehicle dataset from three-phase aggregate measurements.

KW - non-intrusive load monitoring (NILM)

KW - energy disaggregation

KW - deep NILM

KW - 3-phase load

U2 - 10.1145/3563357.3566149

DO - 10.1145/3563357.3566149

M3 - Conference contribution book

SN - 9781450398909

T3 - BuildSys '22

SP - 393

EP - 397

BT - Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

PB - Association for Computing Machinery (ACM)

CY - New York, NY, USA

ER -

Vavouris A , Stankovic L , Stankovic V, Shi J. Benefits of three-phase metering for load disaggregation. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: Association for Computing Machinery (ACM). 2022. p. 393-397. (BuildSys '22). Epub 2022 Nov 8. doi: 10.1145/3563357.3566149

Benefits of three-phase metering for load disaggregation

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering responsible artificial intelligence co-creatiOn (GECKO) MSCA-ITN-2020

Datasets

Smart meter electricity of a Household in Germany with Electric Vehicle Charging Annotation

Appliance Phase Identification on ECO Dataset

Activities

Benefits of Three-Phase Metering for Load Disaggregation

Cite this