{"id":"https://openalex.org/W2971792910","doi":"https://doi.org/10.1109/isgteurope.2019.8905582","title":"Customer Baseline Load Estimation for Incentive-Based Demand Response Using Long Short-Term Memory Recurrent Neural Network","display_name":"Customer Baseline Load Estimation for Incentive-Based Demand Response Using Long Short-Term Memory Recurrent Neural Network","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2971792910","doi":"https://doi.org/10.1109/isgteurope.2019.8905582","mag":"2971792910"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope.2019.8905582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2019.8905582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090933991","display_name":"Oyedokun James","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"James Oyedokun","raw_affiliation_strings":["Systems, Power and Energy Division, University of Glasgow"],"affiliations":[{"raw_affiliation_string":"Systems, Power and Energy Division, University of Glasgow","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062973946","display_name":"Shengrong Bu","orcid":"https://orcid.org/0000-0003-3523-8126"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shengrong Bu","raw_affiliation_strings":["Systems, Power and Energy Division, University of Glasgow"],"affiliations":[{"raw_affiliation_string":"Systems, Power and Energy Division, University of Glasgow","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063667378","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-6606-5822"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Houston"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372152","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0001-5252-3442"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["School of Computer Science, McGill University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090933991"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":0.5961,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.68941943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.8157002329826355},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8116559982299805},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.8086636066436768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7094954252243042},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.6925570964813232},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.5551387071609497},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5093832612037659},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4057343006134033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3852894902229309},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3406520485877991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24247756600379944},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.22974038124084473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18265634775161743}],"concepts":[{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.8157002329826355},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8116559982299805},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.8086636066436768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7094954252243042},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.6925570964813232},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.5551387071609497},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5093832612037659},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4057343006134033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3852894902229309},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3406520485877991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24247756600379944},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.22974038124084473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18265634775161743},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isgteurope.2019.8905582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2019.8905582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:190462","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:190462","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1598796236","https://openalex.org/W1660924617","https://openalex.org/W1957571245","https://openalex.org/W1998373023","https://openalex.org/W2064675550","https://openalex.org/W2074513827","https://openalex.org/W2082291889","https://openalex.org/W2339116839","https://openalex.org/W2604099671","https://openalex.org/W2613278213","https://openalex.org/W2754252319","https://openalex.org/W2765691664","https://openalex.org/W2776458183","https://openalex.org/W2793735731","https://openalex.org/W2890451880","https://openalex.org/W2890677596","https://openalex.org/W2914484425","https://openalex.org/W4255949318","https://openalex.org/W6737454906"],"related_works":["https://openalex.org/W1589973774","https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2353074559","https://openalex.org/W2775355700","https://openalex.org/W2246071452","https://openalex.org/W1985304872","https://openalex.org/W2165970106","https://openalex.org/W2171108821","https://openalex.org/W1498762745"],"abstract_inverted_index":{"The":[0,29],"transition":[1],"to":[2,20,52,121],"an":[3],"intelligent,":[4],"reliable":[5],"and":[6,43,58,109],"efficient":[7],"smart":[8,32,106],"grid":[9],"with":[10],"a":[11,75,112],"high":[12],"penetration":[13],"of":[14,24,31],"renewable":[15],"energy":[16],"drives":[17],"the":[18,22,98,102],"need":[19],"maximise":[21],"utilization":[23],"customers":[25,53],"demand":[26,45,68],"response":[27,46],"potential.":[28],"availability":[30],"meter":[33,107],"data":[34,91,108],"means":[35],"this":[36,61],"potential":[37],"can":[38,49],"be":[39,50],"more":[40],"accurately":[41],"estimated":[42],"suitable":[44],"(DR)":[47],"programs":[48],"targeted":[51],"for":[54,70,83],"load":[55],"shifting,":[56],"clipping":[57],"reduction.":[59],"In":[60],"paper,":[62],"we":[63],"focus":[64],"on":[65,101],"estimating":[66],"customer":[67,84],"baseline":[69,85,116,123],"incentive-based":[71],"DR.":[72],"We":[73,96],"propose":[74],"long":[76],"short-term":[77],"memory":[78],"recurrent":[79],"neural":[80],"network":[81],"framework":[82],"estimation":[86,117,124],"using":[87],"previous":[88],"like":[89],"days":[90],"during":[92],"DR":[93],"events":[94],"period.":[95],"test":[97],"proposed":[99],"methodology":[100],"publicly":[103],"available":[104],"Irish":[105],"results":[110],"shows":[111],"significant":[113],"increase":[114],"in":[115],"accuracy":[118],"when":[119],"compared":[120],"traditional":[122],"methods.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
