Loading…

A prototype tool for automatically generating energy-saving advice based on smart meter data

As many countries and regions have started large-scale deployment of smart meters, there is a growing amount of data on electricity use available for energy efficiency services. We have developed a novel tool that, based on smart meter data, automatically generates customised energy-saving advice to...

Full description

Saved in:
Bibliographic Details
Published in:Energy efficiency 2018-06, Vol.11 (5), p.1247-1264
Main Authors: Kimura, Osamu, Komatsu, Hidenori, Nishio, Ken-ichiro, Mukai, Toshihiro
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23
cites cdi_FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23
container_end_page 1264
container_issue 5
container_start_page 1247
container_title Energy efficiency
container_volume 11
creator Kimura, Osamu
Komatsu, Hidenori
Nishio, Ken-ichiro
Mukai, Toshihiro
description As many countries and regions have started large-scale deployment of smart meters, there is a growing amount of data on electricity use available for energy efficiency services. We have developed a novel tool that, based on smart meter data, automatically generates customised energy-saving advice to commercial and industrial customers. This type of audit tool could enormously expand the target of energy audits to almost all small- and medium-sized enterprises (SMEs) with smart metering at a low cost per customer. In this paper, we explain the structure of and approaches that we used in our prototype tool, such as fault detection, energy disaggregation, social comparison and benchmarking and selective visualisation. We also show test case results for the tool by using smart meter data from 34 public buildings in Japan. While the prototype tool presented in this paper has some limitations, the approach and the basic structure of the tool are valuable and provide the basis for more sophisticated tools.
doi_str_mv 10.1007/s12053-018-9639-3
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2010617748</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2010617748</sourcerecordid><originalsourceid>FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23</originalsourceid><addsrcrecordid>eNp1UE1LxDAQDaLgsu4P8BbwHE2aNm2Py-IXLHhR8CCEpJmUSrdZk3Sh_96Uip6EgZkH772ZeQhdM3rLKC3vAstowQllFakFrwk_QytWlJSIvKzOf2fxfok2IXSacpYJnmqFPrb46F10cToCjs712DqP1RjdQcWuUX0_4RYG8AkNLZ6ndiJBnWakzKlrAGsVwGA34HBQPuIDRPDYqKiu0IVVfYDNT1-jt4f7190T2b88Pu-2e9JwUUeiDM9oWRiuGsvzXIAwGmguGDAwVluubF3YhtU6h9pSbaDIqlLzCnRFmc34Gt0svumVrxFClJ9u9ENaKTPKqGBlmVeJxRZW410IHqw8-i5dPElG5ZyjXHKUKUc55yh50mSLJiTu0IL_c_5f9A0DDXdH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2010617748</pqid></control><display><type>article</type><title>A prototype tool for automatically generating energy-saving advice based on smart meter data</title><source>ABI/INFORM Global</source><source>Springer Link</source><creator>Kimura, Osamu ; Komatsu, Hidenori ; Nishio, Ken-ichiro ; Mukai, Toshihiro</creator><creatorcontrib>Kimura, Osamu ; Komatsu, Hidenori ; Nishio, Ken-ichiro ; Mukai, Toshihiro</creatorcontrib><description>As many countries and regions have started large-scale deployment of smart meters, there is a growing amount of data on electricity use available for energy efficiency services. We have developed a novel tool that, based on smart meter data, automatically generates customised energy-saving advice to commercial and industrial customers. This type of audit tool could enormously expand the target of energy audits to almost all small- and medium-sized enterprises (SMEs) with smart metering at a low cost per customer. In this paper, we explain the structure of and approaches that we used in our prototype tool, such as fault detection, energy disaggregation, social comparison and benchmarking and selective visualisation. We also show test case results for the tool by using smart meter data from 34 public buildings in Japan. While the prototype tool presented in this paper has some limitations, the approach and the basic structure of the tool are valuable and provide the basis for more sophisticated tools.</description><identifier>ISSN: 1570-646X</identifier><identifier>EISSN: 1570-6478</identifier><identifier>DOI: 10.1007/s12053-018-9639-3</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Disaggregation ; Economics and Management ; Electricity meters ; Energy ; Energy conservation ; Energy consumption ; Energy Efficiency ; Energy Policy ; Environment ; Environmental Economics ; Fault detection ; Measuring instruments ; Original Article ; Public buildings ; Renewable and Green Energy ; Sustainable Development</subject><ispartof>Energy efficiency, 2018-06, Vol.11 (5), p.1247-1264</ispartof><rights>Springer Science+Business Media B.V., part of Springer Nature 2018</rights><rights>Energy Efficiency is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23</citedby><cites>FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23</cites><orcidid>0000-0002-0271-8361</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2010617748/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2010617748?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,786,790,11715,27957,27958,36095,44398,75252</link.rule.ids></links><search><creatorcontrib>Kimura, Osamu</creatorcontrib><creatorcontrib>Komatsu, Hidenori</creatorcontrib><creatorcontrib>Nishio, Ken-ichiro</creatorcontrib><creatorcontrib>Mukai, Toshihiro</creatorcontrib><title>A prototype tool for automatically generating energy-saving advice based on smart meter data</title><title>Energy efficiency</title><addtitle>Energy Efficiency</addtitle><description>As many countries and regions have started large-scale deployment of smart meters, there is a growing amount of data on electricity use available for energy efficiency services. We have developed a novel tool that, based on smart meter data, automatically generates customised energy-saving advice to commercial and industrial customers. This type of audit tool could enormously expand the target of energy audits to almost all small- and medium-sized enterprises (SMEs) with smart metering at a low cost per customer. In this paper, we explain the structure of and approaches that we used in our prototype tool, such as fault detection, energy disaggregation, social comparison and benchmarking and selective visualisation. We also show test case results for the tool by using smart meter data from 34 public buildings in Japan. While the prototype tool presented in this paper has some limitations, the approach and the basic structure of the tool are valuable and provide the basis for more sophisticated tools.</description><subject>Disaggregation</subject><subject>Economics and Management</subject><subject>Electricity meters</subject><subject>Energy</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Energy Efficiency</subject><subject>Energy Policy</subject><subject>Environment</subject><subject>Environmental Economics</subject><subject>Fault detection</subject><subject>Measuring instruments</subject><subject>Original Article</subject><subject>Public buildings</subject><subject>Renewable and Green Energy</subject><subject>Sustainable Development</subject><issn>1570-646X</issn><issn>1570-6478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1UE1LxDAQDaLgsu4P8BbwHE2aNm2Py-IXLHhR8CCEpJmUSrdZk3Sh_96Uip6EgZkH772ZeQhdM3rLKC3vAstowQllFakFrwk_QytWlJSIvKzOf2fxfok2IXSacpYJnmqFPrb46F10cToCjs712DqP1RjdQcWuUX0_4RYG8AkNLZ6ndiJBnWakzKlrAGsVwGA34HBQPuIDRPDYqKiu0IVVfYDNT1-jt4f7190T2b88Pu-2e9JwUUeiDM9oWRiuGsvzXIAwGmguGDAwVluubF3YhtU6h9pSbaDIqlLzCnRFmc34Gt0svumVrxFClJ9u9ENaKTPKqGBlmVeJxRZW410IHqw8-i5dPElG5ZyjXHKUKUc55yh50mSLJiTu0IL_c_5f9A0DDXdH</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Kimura, Osamu</creator><creator>Komatsu, Hidenori</creator><creator>Nishio, Ken-ichiro</creator><creator>Mukai, Toshihiro</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-0271-8361</orcidid></search><sort><creationdate>20180601</creationdate><title>A prototype tool for automatically generating energy-saving advice based on smart meter data</title><author>Kimura, Osamu ; Komatsu, Hidenori ; Nishio, Ken-ichiro ; Mukai, Toshihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Disaggregation</topic><topic>Economics and Management</topic><topic>Electricity meters</topic><topic>Energy</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Energy Efficiency</topic><topic>Energy Policy</topic><topic>Environment</topic><topic>Environmental Economics</topic><topic>Fault detection</topic><topic>Measuring instruments</topic><topic>Original Article</topic><topic>Public buildings</topic><topic>Renewable and Green Energy</topic><topic>Sustainable Development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kimura, Osamu</creatorcontrib><creatorcontrib>Komatsu, Hidenori</creatorcontrib><creatorcontrib>Nishio, Ken-ichiro</creatorcontrib><creatorcontrib>Mukai, Toshihiro</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Energy efficiency</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kimura, Osamu</au><au>Komatsu, Hidenori</au><au>Nishio, Ken-ichiro</au><au>Mukai, Toshihiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A prototype tool for automatically generating energy-saving advice based on smart meter data</atitle><jtitle>Energy efficiency</jtitle><stitle>Energy Efficiency</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>11</volume><issue>5</issue><spage>1247</spage><epage>1264</epage><pages>1247-1264</pages><issn>1570-646X</issn><eissn>1570-6478</eissn><abstract>As many countries and regions have started large-scale deployment of smart meters, there is a growing amount of data on electricity use available for energy efficiency services. We have developed a novel tool that, based on smart meter data, automatically generates customised energy-saving advice to commercial and industrial customers. This type of audit tool could enormously expand the target of energy audits to almost all small- and medium-sized enterprises (SMEs) with smart metering at a low cost per customer. In this paper, we explain the structure of and approaches that we used in our prototype tool, such as fault detection, energy disaggregation, social comparison and benchmarking and selective visualisation. We also show test case results for the tool by using smart meter data from 34 public buildings in Japan. While the prototype tool presented in this paper has some limitations, the approach and the basic structure of the tool are valuable and provide the basis for more sophisticated tools.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s12053-018-9639-3</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-0271-8361</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1570-646X
ispartof Energy efficiency, 2018-06, Vol.11 (5), p.1247-1264
issn 1570-646X
1570-6478
language eng
recordid cdi_proquest_journals_2010617748
source ABI/INFORM Global; Springer Link
subjects Disaggregation
Economics and Management
Electricity meters
Energy
Energy conservation
Energy consumption
Energy Efficiency
Energy Policy
Environment
Environmental Economics
Fault detection
Measuring instruments
Original Article
Public buildings
Renewable and Green Energy
Sustainable Development
title A prototype tool for automatically generating energy-saving advice based on smart meter data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-21T19%3A41%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20prototype%20tool%20for%20automatically%20generating%20energy-saving%20advice%20based%20on%20smart%20meter%20data&rft.jtitle=Energy%20efficiency&rft.au=Kimura,%20Osamu&rft.date=2018-06-01&rft.volume=11&rft.issue=5&rft.spage=1247&rft.epage=1264&rft.pages=1247-1264&rft.issn=1570-646X&rft.eissn=1570-6478&rft_id=info:doi/10.1007/s12053-018-9639-3&rft_dat=%3Cproquest_cross%3E2010617748%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c369t-ad32075d3acf3446e6dbe0461e1edfbf3af95fc19b4e9f0bde5287b38eb801f23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2010617748&rft_id=info:pmid/&rfr_iscdi=true