{"id":"https://openalex.org/W3048899449","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9163031","title":"Big Data Analytics Based Short Term Load Forecasting Model for Residential Buildings in Smart Grids","display_name":"Big Data Analytics Based Short Term Load Forecasting Model for Residential Buildings in Smart Grids","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048899449","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9163031","mag":"3048899449"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9163031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9163031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/39460.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007213040","display_name":"Inam Ullah Khan","orcid":"https://orcid.org/0000-0002-8130-3016"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Inam Ullah Khan","raw_affiliation_strings":["Lancaster University, Bailrigg, Lancaster, UK"],"affiliations":[{"raw_affiliation_string":"Lancaster University, Bailrigg, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055380996","display_name":"Nadeem Javaid","orcid":"https://orcid.org/0000-0003-3777-8249"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nadeem Javaid","raw_affiliation_strings":["COMSATS University Islamabad, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"COMSATS University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043355270","display_name":"C. James Taylor","orcid":"https://orcid.org/0000-0002-5247-5193"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. James Taylor","raw_affiliation_strings":["Lancaster University, Bailrigg, Lancaster, UK"],"affiliations":[{"raw_affiliation_string":"Lancaster University, Bailrigg, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063171116","display_name":"Kelum A. A. Gamage","orcid":"https://orcid.org/0000-0002-4832-3373"},"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":"Kelum A. A. Gamage","raw_affiliation_strings":["School of Engineering, University of Glasgow, Glasgow, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067344099","display_name":"Xiandong Ma","orcid":"https://orcid.org/0000-0001-7363-9727"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiandong Ma","raw_affiliation_strings":["Lancaster University, Bailrigg, Lancaster, UK"],"affiliations":[{"raw_affiliation_string":"Lancaster University, Bailrigg, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007213040"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":0.5183,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6504525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10603","display_name":"Smart Grid Energy Management","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681528329849243},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.6319117546081543},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5266661047935486},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.4941618740558624},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4875790476799011},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4388652741909027},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.42412269115448},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4150884747505188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3986009955406189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3618004322052002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35685259103775024},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.20971092581748962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18563786149024963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681528329849243},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.6319117546081543},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5266661047935486},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.4941618740558624},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4875790476799011},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4388652741909027},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.42412269115448},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4150884747505188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3986009955406189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3618004322052002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35685259103775024},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.20971092581748962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18563786149024963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9163031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9163031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:220696","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/39460.html>","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":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:220696","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/39460.html>","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":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2419183897","https://openalex.org/W2729222988","https://openalex.org/W2742473260","https://openalex.org/W2762726101","https://openalex.org/W2883383020"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2898021358"],"abstract_inverted_index":{"Electricity":[0],"load":[1,32,44,62,69,138],"forecasting":[2,33,70],"has":[3,39],"always":[4],"been":[5],"a":[6,40,54,66,83,125,145,160],"significant":[7],"part":[8],"of":[9,60,94,124,144,169],"the":[10,92,112,122,131,136,142,152,166,170,176,185],"smart":[11],"grid.":[12],"It":[13],"ensures":[14],"sustainability":[15],"and":[16,27,80,97,107,155],"helps":[17,103],"utilities":[18],"to":[19,184],"take":[20],"cost-efficient":[21],"measures":[22],"for":[23,31,111,130,164],"power":[24],"system":[25],"planning":[26],"operation.":[28],"Conventional":[29],"methods":[30],"cannot":[34],"handle":[35],"huge":[36],"data":[37,77],"that":[38,52,72,175],"nonlinear":[41],"relationship":[42],"with":[43,91,121,141],"power.":[45],"Hence":[46],"an":[47],"integrated":[48],"approach":[49],"is":[50,119,139],"needed":[51],"adopts":[53],"coordinating":[55],"procedure":[56],"between":[57],"different":[58],"modules":[59],"electricity":[61,68,137],"forecasting.":[63],"We":[64],"develop":[65],"novel":[67],"architecture":[71],"integrates":[73],"three":[74],"modules,":[75],"namely":[76],"selection,":[78],"extraction,":[79],"classification":[81],"into":[82],"single":[84],"model.":[85],"First,":[86],"essential":[87],"features":[88],"are":[89],"selected":[90],"help":[93,123,143],"random":[95],"forest":[96],"recursive":[98],"feature":[99,105,133],"elimination":[100],"methods.":[101],"This":[102],"reduce":[104],"redundancy":[106],"hence":[108],"computational":[109,156],"overhead":[110],"next":[113],"two":[114],"modules.":[115],"Second,":[116],"dimensionality":[117],"reduction":[118],"realized":[120],"t-stochastic":[126],"neighbourhood":[127],"embedding":[128],"algorithm":[129,163],"best":[132],"extraction.":[134],"Finally,":[135],"forecasted":[140],"deep":[146],"neural":[147],"network":[148],"(DNN).":[149],"To":[150],"improve":[151],"learning":[153],"trend":[154],"efficiency,":[157],"we":[158],"employ":[159],"grid":[161],"search":[162],"tuning":[165],"critical":[167],"parameters":[168],"DNN.":[171,187],"Simulation":[172],"results":[173],"confirm":[174],"proposed":[177],"model":[178],"achieves":[179],"higher":[180],"accuracy":[181],"when":[182],"compared":[183],"standard":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
