{"id":"https://openalex.org/W7127039480","doi":"https://doi.org/10.61628/jsce.v7i1.2465","title":"Daily Electricity Load Forecasting in Ternate City Using ELM","display_name":"Daily Electricity Load Forecasting in Ternate City Using ELM","publication_year":2026,"publication_date":"2026-01-29","ids":{"openalex":"https://openalex.org/W7127039480","doi":"https://doi.org/10.61628/jsce.v7i1.2465"},"language":"en","primary_location":{"id":"doi:10.61628/jsce.v7i1.2465","doi":"https://doi.org/10.61628/jsce.v7i1.2465","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i1.2465","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2465/1292","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2465/1292","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090242564","display_name":"Andi Muhammad Ilyas","orcid":"https://orcid.org/0000-0001-6001-2298","observed_orcids":["https://orcid.org/0000-0001-6001-2298"]},"institutions":[{"id":"https://openalex.org/I3130536011","display_name":"Khairun University","ror":"https://ror.org/02azr0g93","country_code":"ID","type":"education","lineage":["https://openalex.org/I3130536011"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Andi Muhammad Ilyas","raw_affiliation_strings":["Khairun University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khairun University","institution_ids":["https://openalex.org/I3130536011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124730775","display_name":"Muhammad Natsir Rahman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3130536011","display_name":"Khairun University","ror":"https://ror.org/02azr0g93","country_code":"ID","type":"education","lineage":["https://openalex.org/I3130536011"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Natsir Rahman","raw_affiliation_strings":["Khairun University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khairun University","institution_ids":["https://openalex.org/I3130536011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124725933","display_name":"Aldi Aswat","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3130536011","display_name":"Khairun University","ror":"https://ror.org/02azr0g93","country_code":"ID","type":"education","lineage":["https://openalex.org/I3130536011"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Aldi Aswat","raw_affiliation_strings":["Khairun University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khairun University","institution_ids":["https://openalex.org/I3130536011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013033962","display_name":"Faris Syamsuddin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3130536011","display_name":"Khairun University","ror":"https://ror.org/02azr0g93","country_code":"ID","type":"education","lineage":["https://openalex.org/I3130536011"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Faris Syamsuddin","raw_affiliation_strings":["Khairun University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khairun University","institution_ids":["https://openalex.org/I3130536011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124696921","display_name":"Suparman Suparman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3130536011","display_name":"Khairun University","ror":"https://ror.org/02azr0g93","country_code":"ID","type":"education","lineage":["https://openalex.org/I3130536011"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Suparman Suparman","raw_affiliation_strings":["Khairun University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khairun University","institution_ids":["https://openalex.org/I3130536011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082267393","display_name":"Bayu Adrian Ashad","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210116576","display_name":"Universitas Muslim Indonesia","ror":"https://ror.org/02c0s8023","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210116576"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bayu Adrian Ashad","raw_affiliation_strings":["Universitas Muslim Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muslim Indonesia","institution_ids":["https://openalex.org/I4210116576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093828225","display_name":"Agus Siswanto","orcid":"https://orcid.org/0000-0002-5852-8161","observed_orcids":["https://orcid.org/0000-0002-5852-8161"]},"institutions":[{"id":"https://openalex.org/I4210097553","display_name":"Universitas 17 Agustus 1945 Jakarta","ror":"https://ror.org/00vp4y570","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210097553"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agus Siswanto","raw_affiliation_strings":["Universitas 17 Agustus 1945"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas 17 Agustus 1945","institution_ids":["https://openalex.org/I4210097553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03769994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"78","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9951000213623047,"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":0.9951000213623047,"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/T12676","display_name":"Machine Learning and ELM","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.0003000000142492354,"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/extreme-learning-machine","display_name":"extreme learning machine","score":0.9470000267028809},{"id":"https://openalex.org/keywords/ternate-city","display_name":"Ternate City","score":0.890999972820282},{"id":"https://openalex.org/keywords/peak-load-periods","display_name":"peak load periods","score":0.6790000200271606},{"id":"https://openalex.org/keywords/power-system-planning","display_name":"power system planning","score":0.8989999890327454},{"id":"https://openalex.org/keywords/electricity-demand-growth","display_name":"electricity demand growth","score":0.7139999866485596},{"id":"https://openalex.org/keywords/power-supply-reliability","display_name":"power supply reliability","score":0.550000011920929}],"concepts":[{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.7752000093460083},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6884999871253967},{"id":"https://openalex.org/C184773241","wikidata":"https://www.wikidata.org/wiki/Q387400","display_name":"Mains electricity","level":3,"score":0.5112000107765198},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.498199999332428},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.448199987411499},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C2778160759","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Electric power quality","level":4,"score":0.4359999895095825},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41909998655319214},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4133000075817108},{"id":"https://openalex.org/C2777908891","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Load profile","level":3,"score":0.4115999937057495},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C40293303","wikidata":"https://www.wikidata.org/wiki/Q27137","display_name":"Electric power","level":3,"score":0.4083000123500824},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4027000069618225},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.40049999952316284},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C170777988","wikidata":"https://www.wikidata.org/wiki/Q2316331","display_name":"Electric power industry","level":3,"score":0.33059999346733093},{"id":"https://openalex.org/C146733006","wikidata":"https://www.wikidata.org/wiki/Q676081","display_name":"Electricity market","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32280001044273376},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.27810001373291016},{"id":"https://openalex.org/C2986689482","wikidata":"https://www.wikidata.org/wiki/Q1806775","display_name":"Peak load","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C2779665505","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Power quality","level":3,"score":0.2773999869823456},{"id":"https://openalex.org/C2988649059","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Electricity demand","level":4,"score":0.27399998903274536},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.61628/jsce.v7i1.2465","doi":"https://doi.org/10.61628/jsce.v7i1.2465","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i1.2465","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2465/1292","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.61628/jsce.v7i1.2465","doi":"https://doi.org/10.61628/jsce.v7i1.2465","is_oa":true,"landing_page_url":"https://doi.org/10.61628/jsce.v7i1.2465","pdf_url":"https://journal.unpacti.ac.id/index.php/JSCE/article/download/2465/1292","source":{"id":"https://openalex.org/S4210237971","display_name":"Journal of System and Computer Engineering (JSCE)","issn_l":"2723-1240","issn":["2723-1240"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210150415","host_organization_name":"Universitas Pancasakti Makassar","host_organization_lineage":["https://openalex.org/I4210150415"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of System and Computer Engineering (JSCE)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.8970999717712402},{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8485000133514404},{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127039480.pdf","grobid_xml":"https://content.openalex.org/works/W7127039480.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W3048284148","https://openalex.org/W4200085829","https://openalex.org/W4200527964","https://openalex.org/W4214916487","https://openalex.org/W4249137320","https://openalex.org/W4388901541","https://openalex.org/W4393128822","https://openalex.org/W4398142120","https://openalex.org/W4399566801","https://openalex.org/W4403425074","https://openalex.org/W4404019865","https://openalex.org/W4406800707","https://openalex.org/W4407852979","https://openalex.org/W4410192464","https://openalex.org/W4411847807"],"related_works":["https://openalex.org/W4388037829","https://openalex.org/W4410986882","https://openalex.org/W4410342264","https://openalex.org/W4410854409","https://openalex.org/W7220580594","https://openalex.org/W7220033075","https://openalex.org/W4214839693","https://openalex.org/W4229444759","https://openalex.org/W6962666865","https://openalex.org/W4410633528"],"abstract_inverted_index":{"The":[0,73,99,114],"continuously":[1],"increasing":[2],"growth":[3],"of":[4,12,28,101,208],"electricity":[5,43,61,79,169,209],"demand":[6],"necessitates":[7],"accurate":[8],"and":[9,21,49,93,96,201,206],"systematic":[10],"planning":[11,200],"electric":[13,197],"power":[14,18,198],"systems":[15],"to":[16,57,128,131,134,148,155,165,175,195,202],"ensure":[17],"flow":[19],"quality":[20,205],"system":[22,199],"reliability.":[23],"Ternate":[24,64,212],"City,":[25],"as":[26,191],"one":[27],"the":[29,59,67,102,108,118,122,139,153,160,185,204],"major":[30],"activity":[31],"centers":[32],"in":[33,42,63,211],"North":[34],"Maluku":[35],"Province,":[36],"has":[37],"experienced":[38],"a":[39,192],"substantial":[40],"rise":[41],"consumption,":[44],"thereby":[45],"requiring":[46],"an":[47],"effective":[48],"reliable":[50,193],"load":[51,62,80,170,179],"forecasting":[52],"approach.":[53],"This":[54],"study":[55],"aims":[56],"predict":[58],"daily":[60,168],"City":[65],"using":[66,77,107],"Extreme":[68],"Learning":[69],"Machine":[70],"(ELM)":[71],"method.":[72],"analysis":[74],"is":[75,105],"conducted":[76],"historical":[78],"data,":[81],"which":[82,150],"are":[83,163],"processed":[84],"through":[85],"data":[86],"preprocessing":[87],"stages,":[88],"dataset":[89,124,141],"partitioning":[90],"into":[91],"training":[92,123],"testing":[94,140],"sets,":[95],"ELM-based":[97],"modeling.":[98],"performance":[100,136,157],"proposed":[103],"model":[104],"evaluated":[106],"Mean":[109],"Absolute":[110],"Percentage":[111],"Error":[112],"(MAPE).":[113],"results":[115,162],"indicate":[116],"that":[117],"MAPE":[119,143],"values":[120,144],"for":[121],"range":[125],"from":[126,146,173],"5.84%":[127],"13.63%,":[129],"corresponding":[130],"very":[132],"good":[133,135,154],"categories.":[137,158],"Meanwhile,":[138],"yields":[142],"ranging":[145],"13.45%":[147],"33.09%,":[149],"fall":[151],"within":[152],"sufficient":[156],"Furthermore,":[159],"prediction":[161],"able":[164],"accurately":[166],"capture":[167],"fluctuation":[171],"patterns":[172],"Monday":[174],"Sunday,":[176],"including":[177],"peak":[178],"periods.":[180],"Based":[181],"on":[182],"these":[183],"findings,":[184],"ELM":[186],"method":[187],"demonstrates":[188],"strong":[189],"potential":[190],"approach":[194],"support":[196],"enhance":[203],"reliability":[207],"supply":[210],"City.":[213]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-03T00:00:00"}