{"id":"https://openalex.org/W4405598904","doi":"https://doi.org/10.1109/ojcs.2024.3520198","title":"Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus","display_name":"Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus","publication_year":2024,"publication_date":"2024-12-19","ids":{"openalex":"https://openalex.org/W4405598904","doi":"https://doi.org/10.1109/ojcs.2024.3520198"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2024.3520198","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3520198","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcs.2024.3520198","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028674748","display_name":"Bivin Pradeep","orcid":"https://orcid.org/0000-0002-1203-0886"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Bivin Pradeep","raw_affiliation_strings":["College of IT, UAE University, Al Ain, UAE"],"affiliations":[{"raw_affiliation_string":"College of IT, UAE University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101447144","display_name":"Parag Kulkarni","orcid":"https://orcid.org/0000-0001-8612-444X"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Parag Kulkarni","raw_affiliation_strings":["College of IT, UAE University, Al Ain, UAE","National Water, Energy Centre, UAE University, Al Ain, UAE"],"affiliations":[{"raw_affiliation_string":"College of IT, UAE University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"National Water, Energy Centre, UAE University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052758685","display_name":"Farman Ullah","orcid":"https://orcid.org/0000-0002-2488-8353"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Farman Ullah","raw_affiliation_strings":["College of IT, UAE University, Al Ain, UAE"],"affiliations":[{"raw_affiliation_string":"College of IT, UAE University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090441509","display_name":"Abderrahmane Lakas","orcid":"https://orcid.org/0000-0003-4725-8634"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Abderrahmane Lakas","raw_affiliation_strings":["College of IT, UAE University, Al Ain, UAE"],"affiliations":[{"raw_affiliation_string":"College of IT, UAE University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028674748"],"corresponding_institution_ids":["https://openalex.org/I201726411"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.4175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64184087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"189","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9399999976158142,"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":0.9399999976158142,"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/series","display_name":"Series (stratigraphy)","score":0.593454897403717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908257365226746},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5659241080284119},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5292113423347473},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4245131015777588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37933549284935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3693186640739441},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.24488303065299988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2172345221042633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11629173159599304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07488629221916199},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06582140922546387}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.593454897403717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908257365226746},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5659241080284119},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5292113423347473},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4245131015777588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37933549284935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3693186640739441},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.24488303065299988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2172345221042633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11629173159599304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07488629221916199},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06582140922546387},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2024.3520198","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3520198","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:35916ab8352543b0bd56f936a80f729e","is_oa":true,"landing_page_url":"https://doaj.org/article/35916ab8352543b0bd56f936a80f729e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Open Journal of the Computer Society, Vol 6, Pp 189-198 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2024.3520198","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2024.3520198","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1998230236","https://openalex.org/W2061776187","https://openalex.org/W2064675550","https://openalex.org/W2131774270","https://openalex.org/W2346049646","https://openalex.org/W2786843211","https://openalex.org/W2901078833","https://openalex.org/W2950635152","https://openalex.org/W2993792358","https://openalex.org/W3003855666","https://openalex.org/W4221130660","https://openalex.org/W4321793365","https://openalex.org/W4352980432","https://openalex.org/W4362735283","https://openalex.org/W4388452147"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2041308758","https://openalex.org/W4392529072","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"A":[0],"growing":[1],"global":[2],"impetus":[3],"has":[4],"emerged":[5],"to":[6,19,93,110,131,191],"enhance":[7],"the":[8,25,31,50,62,68,71,111,183,210,213],"sustainability":[9],"of":[10,27,52,70,148,221,230],"energy":[11,29,32,36,46,64,87,96,112,122,149,199],"systems":[12],"and":[13,34,48,66,78,98,151,175,187,201,224,232,248],"practices.":[14],"The":[15,38,55,238],"two":[16,144],"popular":[17],"levers":[18],"achieve":[20],"this":[21,103,138,206],"goal":[22],"include":[23],"increasing":[24,49],"proportion":[26],"clean":[28],"in":[30,101,134],"mix":[33],"enhancing":[35],"efficiency.":[37],"former":[39],"involves":[40,57],"reducing":[41],"reliance":[42],"on":[43,142],"fossil":[44],"fuel-based":[45],"sources":[47],"adoption":[51],"renewable":[53],"energy.":[54],"latter":[56],"understanding":[58],"factors":[59],"that":[60,82,209],"impact":[61],"current":[63],"footprint":[65],"improving":[67],"efficiencies":[69],"process.":[72],"University":[73],"campuses":[74],"comprise":[75],"many":[76],"buildings,":[77],"it":[79,90,128],"is":[80,91,129],"well-known":[81],"buildings":[83],"have":[84],"a":[85,193,218],"sizeable":[86],"footprint.":[88],"Therefore,":[89],"beneficial":[92],"understand":[94],"their":[95],"consumption":[97,150],"identify":[99],"ways":[100],"which":[102],"could":[104],"be":[105],"further":[106],"optimised.":[107],"Furthermore,":[108],"catering":[109],"demand":[113,133,152,202,215],"requires":[114],"appropriate":[115],"provisioning":[116],"with":[117,121,217],"significant":[118],"costs":[119],"associated":[120],"procurement":[123],"on-demand.":[124],"To":[125],"address":[126],"this,":[127],"vital":[130],"predict":[132],"advance":[135],"accurately.":[136],"In":[137],"article,":[139],"we":[140],"elaborate":[141],"these":[143],"aspects,":[145],"i.e.,":[146],"analysis":[147],"forecasting":[153],"using":[154],"deep":[155],"learning-based":[156],"time":[157],"series":[158],"techniques":[159],"such":[160],"as":[161],"Long":[162,167],"short-term":[163,168],"memory":[164,169],"(LSTM),":[165],"Bi-directional":[166],"(BiLSTM),":[170],"Gated":[171,177],"recurrent":[172,178],"unit":[173],"(GRU),":[174],"Bidirectional":[176],"units":[179],"(BiGRU).":[180],"We":[181],"analyse":[182],"different":[184],"parameter":[185],"optimisers":[186],"history":[188],"window":[189,228,239],"lengths":[190],"select":[192],"better":[194,243],"hyper-parameter":[195],"set":[196],"for":[197,227,234,244],"accurate":[198],"use":[200],"prediction.":[203],"Findings":[204],"from":[205],"study":[207],"show":[208],"prediction":[211],"follows":[212],"actual":[214],"curve":[216],"minimum":[219],"RMSE":[220],"65.354":[222],"MWh":[223,226],"65.936":[225],"sizes":[229],"four":[231],"six":[233,241],"validation":[235],"(testing),":[236],"respectively.":[237],"size":[240],"performs":[242],"most":[245],"time-series":[246],"algorithms":[247],"hyperparameter":[249],"combinations.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
