{"id":"https://openalex.org/W2617053505","doi":"https://doi.org/10.1109/syscon.2017.7934803","title":"Energy demand prediction through novel random neural network predictor for large non-domestic buildings","display_name":"Energy demand prediction through novel random neural network predictor for large non-domestic buildings","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2617053505","doi":"https://doi.org/10.1109/syscon.2017.7934803","mag":"2617053505"},"language":"en","primary_location":{"id":"doi:10.1109/syscon.2017.7934803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon.2017.7934803","pdf_url":null,"source":{"id":"https://openalex.org/S4306498133","display_name":"2017 Annual IEEE International Systems Conference (SysCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Annual IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://researchonline.gcu.ac.uk/en/publications/89adaa34-3576-4544-b6c0-7e85771ca6ec","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100754273","display_name":"Jawad Ahmad","orcid":"https://orcid.org/0000-0001-6289-8248"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jawad Ahmad","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083724607","display_name":"Hadi Larijani","orcid":"https://orcid.org/0000-0002-6826-207X"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hadi Larijani","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025069783","display_name":"Rohinton Emmanuel","orcid":"https://orcid.org/0000-0002-3726-5892"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rohinton Emmanuel","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005823400","display_name":"Mike Mannion","orcid":"https://orcid.org/0000-0003-2589-3901"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mike Mannion","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008938944","display_name":"Abbas Javed","orcid":"https://orcid.org/0000-0001-9243-4364"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abbas Javed","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075139650","display_name":"Mark Phillipson","orcid":"https://orcid.org/0000-0003-1136-8751"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Phillipson","raw_affiliation_strings":["School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.632,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97545008,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9997000098228455,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9908999800682068,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6389074325561523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307271122932434},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5740501284599304},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5312473773956299},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5119991898536682},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4797707498073578},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41836780309677124},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3265295624732971},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32439613342285156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30300283432006836},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22410202026367188},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16995498538017273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12091511487960815}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6389074325561523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307271122932434},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5740501284599304},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5312473773956299},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5119991898536682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4797707498073578},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41836780309677124},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3265295624732971},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32439613342285156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30300283432006836},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22410202026367188},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16995498538017273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12091511487960815},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/syscon.2017.7934803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon.2017.7934803","pdf_url":null,"source":{"id":"https://openalex.org/S4306498133","display_name":"2017 Annual IEEE International Systems Conference (SysCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Annual IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire/89adaa34-3576-4544-b6c0-7e85771ca6ec","is_oa":true,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/89adaa34-3576-4544-b6c0-7e85771ca6ec","pdf_url":null,"source":{"id":"https://openalex.org/S4306402566","display_name":"ResearchOnline (Glasgow Caledonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195939026","host_organization_name":"Glasgow Caledonian University","host_organization_lineage":["https://openalex.org/I195939026"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ahmad, J, Larijani, H, Emmanuel, R, Mannion, M, Javed, A & Phillipson, M 2017, Energy demand prediction through novel random neural network predictor for large non-domestic buildings. in 2017 Annual IEEE International Systems Conference (SysCon)., 7934803, IEEE, Montreal, QC, Canada. https://doi.org/10.1109/SYSCON.2017.7934803","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:napier-surface.worktribe.com:2133551","is_oa":false,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2133551","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire/89adaa34-3576-4544-b6c0-7e85771ca6ec","is_oa":true,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/89adaa34-3576-4544-b6c0-7e85771ca6ec","pdf_url":null,"source":{"id":"https://openalex.org/S4306402566","display_name":"ResearchOnline (Glasgow Caledonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195939026","host_organization_name":"Glasgow Caledonian University","host_organization_lineage":["https://openalex.org/I195939026"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ahmad, J, Larijani, H, Emmanuel, R, Mannion, M, Javed, A & Phillipson, M 2017, Energy demand prediction through novel random neural network predictor for large non-domestic buildings. in 2017 Annual IEEE International Systems Conference (SysCon)., 7934803, IEEE, Montreal, QC, Canada. https://doi.org/10.1109/SYSCON.2017.7934803","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8199999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1519770193","https://openalex.org/W1597286183","https://openalex.org/W1967263267","https://openalex.org/W1996503769","https://openalex.org/W2003725769","https://openalex.org/W2010470943","https://openalex.org/W2021640400","https://openalex.org/W2023312989","https://openalex.org/W2029127245","https://openalex.org/W2032632859","https://openalex.org/W2033065921","https://openalex.org/W2033213616","https://openalex.org/W2035272050","https://openalex.org/W2039915758","https://openalex.org/W2045045282","https://openalex.org/W2048092905","https://openalex.org/W2054087648","https://openalex.org/W2065301504","https://openalex.org/W2067670783","https://openalex.org/W2100495367","https://openalex.org/W2116092561","https://openalex.org/W2128120029","https://openalex.org/W2128332575","https://openalex.org/W2146702772","https://openalex.org/W2153909224","https://openalex.org/W2156302255","https://openalex.org/W2244087156","https://openalex.org/W2498029196","https://openalex.org/W2614225773","https://openalex.org/W2910855614","https://openalex.org/W4285719527","https://openalex.org/W6723774707"],"related_works":["https://openalex.org/W4297745244","https://openalex.org/W4214628662","https://openalex.org/W3092380670","https://openalex.org/W2156822401","https://openalex.org/W2037518538","https://openalex.org/W3125847301","https://openalex.org/W4313390786","https://openalex.org/W2356819012","https://openalex.org/W2089393798","https://openalex.org/W2999062404"],"abstract_inverted_index":{"Buildings":[0],"are":[1,123,126,145],"among":[2],"the":[3,9,19,67,129,140,149,157],"largest":[4],"consumers":[5],"of":[6,18,24,60,121,151],"energy":[7,21,36,52,141,161],"in":[8,34,169],"world.":[10],"In":[11],"developed":[12,71],"countries,":[13],"buildings":[14],"currently":[15],"consumes":[16],"40%":[17],"total":[20,25],"and":[22,41,88,119],"51%":[23],"electricity":[26],"consumption.":[27],"Energy":[28],"prediction":[29],"is":[30,48,70,83,134],"a":[31,43,55,64],"key":[32],"factor":[33],"reducing":[35],"wastage.":[37],"This":[38],"paper":[39],"presents":[40],"evaluates":[42],"novel":[44],"RNN":[45,132,159],"technique":[46],"which":[47],"capable":[49],"to":[50,147],"predict":[51],"utilization":[53],"for":[54,66,85,139],"non-domestic":[56],"large":[57],"building":[58],"comprising":[59],"562":[61,68],"rooms.":[62],"Initially,":[63],"model":[65,82,133,162],"rooms":[69],"using":[72],"Integrated":[73],"Environment":[74,77],"Solutions":[75],"Virtual":[76],"(IES-VE)":[78],"software.":[79],"The":[80,153],"IES-VE":[81],"simulated":[84],"one":[86],"year":[87],"10":[89],"essential":[90],"data":[91],"inputs":[92],"i.e.,":[93],"air":[94],"temperature,":[95,98],"dry":[96],"resultant":[97],"internal":[99,117],"gain,":[100],"heating":[101,113],"set":[102,105],"point,":[103,106],"cooling":[104],"plant":[107,114],"profile,":[108],"relative":[109],"humidity,":[110],"moisture":[111],"content,":[112],"sensible":[115],"load,":[116],"gain":[118],"number":[120],"people":[122],"measured.":[124],"Datasets":[125],"generated":[127],"from":[128],"measured":[130],"data.":[131],"trained":[135],"with":[136],"this":[137],"datasets":[138],"demand":[142],"prediction.":[143,152],"Experiments":[144],"used":[146],"identify":[148],"accuracy":[150],"results":[154],"show":[155],"that":[156],"proposed":[158],"based":[160],"achieves":[163],"0.00001":[164],"Mean":[165],"Square":[166],"Error":[167],"(MSE)":[168],"just":[170],"86":[171],"epochs":[172],"via":[173],"Gradient":[174],"Decent":[175],"(GD)":[176],"algorithm.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-06-05T00:00:00"}
