{"id":"https://openalex.org/W3192376039","doi":"https://doi.org/10.1109/icaicst53116.2021.9497812","title":"Short-Term Electrical Load Prediction Using ANN-Backpropagation","display_name":"Short-Term Electrical Load Prediction Using ANN-Backpropagation","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3192376039","doi":"https://doi.org/10.1109/icaicst53116.2021.9497812","mag":"3192376039"},"language":"en","primary_location":{"id":"doi:10.1109/icaicst53116.2021.9497812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005785016","display_name":"Almira Hafidzanti Zuraidah","orcid":null},"institutions":[{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]},{"id":"https://openalex.org/I4387153613","display_name":"Politeknik Elektronika Negeri Surabaya","ror":"https://ror.org/00cf3sf89","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153613"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Almira Hafidzanti Zuraidah","raw_affiliation_strings":["Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia"],"affiliations":[{"raw_affiliation_string":"Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050980967","display_name":"Novie Ayub Windarko","orcid":"https://orcid.org/0000-0002-8552-4713"},"institutions":[{"id":"https://openalex.org/I4387153613","display_name":"Politeknik Elektronika Negeri Surabaya","ror":"https://ror.org/00cf3sf89","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153613"]},{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Novie Ayub Windarko","raw_affiliation_strings":["Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia"],"affiliations":[{"raw_affiliation_string":"Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004949129","display_name":"Rachma Prilian Eviningsih","orcid":null},"institutions":[{"id":"https://openalex.org/I4387153613","display_name":"Politeknik Elektronika Negeri Surabaya","ror":"https://ror.org/00cf3sf89","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153613"]},{"id":"https://openalex.org/I23758234","display_name":"Universitas Negeri Surabaya","ror":"https://ror.org/01jf74q70","country_code":"ID","type":"education","lineage":["https://openalex.org/I23758234"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rachma Prilian Eviningsih","raw_affiliation_strings":["Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia"],"affiliations":[{"raw_affiliation_string":"Politeknik Elektronika Negeri Surabaya,Electrical Engineering Department,Surabaya,Indonesia","institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005785016"],"corresponding_institution_ids":["https://openalex.org/I23758234","https://openalex.org/I4387153613"],"apc_list":null,"apc_paid":null,"fwci":0.8022,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71744612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/backpropagation","display_name":"Backpropagation","score":0.9565667510032654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7023111581802368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6458383202552795},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5941725969314575},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5734950304031372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4671233296394348},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4505194425582886},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4353165328502655},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.425302654504776},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.42449355125427246},{"id":"https://openalex.org/keywords/electric-power","display_name":"Electric power","score":0.4119330644607544},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3414572775363922},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.2515678107738495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23978403210639954},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12220078706741333}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.9565667510032654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7023111581802368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458383202552795},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5941725969314575},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5734950304031372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4671233296394348},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4505194425582886},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4353165328502655},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.425302654504776},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.42449355125427246},{"id":"https://openalex.org/C40293303","wikidata":"https://www.wikidata.org/wiki/Q27137","display_name":"Electric power","level":3,"score":0.4119330644607544},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3414572775363922},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.2515678107738495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23978403210639954},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12220078706741333},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaicst53116.2021.9497812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaicst53116.2021.9497812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W78489342","https://openalex.org/W760705008","https://openalex.org/W1519413825","https://openalex.org/W1582290234","https://openalex.org/W2065720733","https://openalex.org/W2116048577","https://openalex.org/W2138479795","https://openalex.org/W2165627882","https://openalex.org/W2407096126","https://openalex.org/W2512630627","https://openalex.org/W2528071769","https://openalex.org/W2790545079","https://openalex.org/W2791275028","https://openalex.org/W2903273275","https://openalex.org/W2944987437","https://openalex.org/W2972462266","https://openalex.org/W3045325249","https://openalex.org/W3082740268","https://openalex.org/W3140672241","https://openalex.org/W3201037162","https://openalex.org/W4241233199","https://openalex.org/W4285577923","https://openalex.org/W6603165845","https://openalex.org/W6628093346","https://openalex.org/W6801744529"],"related_works":["https://openalex.org/W2355461157","https://openalex.org/W2464596004","https://openalex.org/W2360367744","https://openalex.org/W2989389395","https://openalex.org/W2744155105","https://openalex.org/W3000018874","https://openalex.org/W2223780942","https://openalex.org/W2969518884","https://openalex.org/W2515286385","https://openalex.org/W2380268951"],"abstract_inverted_index":{"Electrical":[0],"energy":[1],"is":[2,18,84,101,121,145],"a":[3,105],"vital":[4],"requirement":[5],"in":[6,55,70,92],"Indonesia.":[7],"As":[8],"the":[9,23,44,61,71,75,88,93,96,115,118,150,154],"main":[10],"electricity":[11,24,29],"supplier,":[12],"PLN":[13],"(Indonesian":[14],"Electric":[15],"Power":[16],"Company)":[17],"required":[19],"to":[20,35,86],"always":[21],"provide":[22],"needed.":[25],"The":[26,133],"instability":[27],"of":[28,67,95,135,142,153],"consumption":[30],"causes":[31,74],"future":[32],"capacity":[33],"planning":[34],"be":[36],"uncertain":[37],"or":[38],"nonlinear.":[39],"Based":[40],"on":[41],"previous":[42],"studies,":[43],"backpropagation":[45],"type":[46],"Artificial":[47],"Neural":[48],"Network":[49],"(ANN)":[50],"method":[51,100,156],"has":[52],"good":[53],"performance":[54],"nonlinear":[56],"electrical":[57,110],"loads":[58,111],"prediction":[59],"for":[60,108,149],"short":[62],"term.":[63],"Yet,":[64],"many":[65],"variations":[66],"hidden":[68,89,116,126],"layer":[69,90],"ANN":[72],"architecture":[73,120],"trial":[76],"error":[77,141,152],"process":[78],"takes":[79],"longer.":[80],"So,":[81],"this":[82],"research":[83],"aimed":[85],"observe":[87],"behavior":[91],"learning":[94],"ANN-Backpropagation":[97],"method.":[98],"This":[99],"successfully":[102],"applied":[103],"as":[104],"simulation":[106],"program":[107],"short-term":[109],"prediction.":[112],"By":[113],"varying":[114],"layers,":[117,127],"best":[119],"obtained":[122],"by":[123,158],"using":[124],"2":[125],"with":[128],"10":[129],"neurons":[130],"each":[131],"layer.":[132],"results":[134],"network":[136],"test":[137],"get":[138],"an":[139],"average":[140,151],"6.74%":[143],"which":[144],"smaller":[146],"than":[147],"8.24%":[148],"coefficient":[155],"used":[157],"PLN.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}