{"id":"https://openalex.org/W4388116495","doi":"https://doi.org/10.1109/amps59207.2023.10297192","title":"Comparison Between the Machine Learning and the Statistical Approach to the Forecasting of Voltage, Current, and Frequency","display_name":"Comparison Between the Machine Learning and the Statistical Approach to the Forecasting of Voltage, Current, and Frequency","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4388116495","doi":"https://doi.org/10.1109/amps59207.2023.10297192"},"language":"en","primary_location":{"id":"doi:10.1109/amps59207.2023.10297192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amps59207.2023.10297192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/10297192","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060473961","display_name":"Virginia Negri","orcid":"https://orcid.org/0000-0001-8521-0776"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Virginia Negri","raw_affiliation_strings":["Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012455420","display_name":"Alessandro Mingotti","orcid":"https://orcid.org/0000-0002-1739-1277"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Mingotti","raw_affiliation_strings":["Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088604112","display_name":"Roberto Tinarelli","orcid":"https://orcid.org/0000-0002-5377-2421"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Tinarelli","raw_affiliation_strings":["Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018213030","display_name":"Lorenzo Peretto","orcid":"https://orcid.org/0000-0003-3407-2056"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Peretto","raw_affiliation_strings":["Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9926999807357788,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.647886335849762},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.6407269239425659},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.4644109904766083},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4613625407218933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4464341402053833},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4289349913597107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4263547360897064},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4250714182853699},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.42307645082473755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24328568577766418},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12757593393325806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07640498876571655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647886335849762},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.6407269239425659},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.4644109904766083},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4613625407218933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4464341402053833},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4289349913597107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4263547360897064},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4250714182853699},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.42307645082473755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24328568577766418},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12757593393325806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07640498876571655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/amps59207.2023.10297192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/amps59207.2023.10297192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Workshop on Applied Measurements for Power Systems (AMPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/950394","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/10297192","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:cris.unibo.it:11585/950394","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/10297192","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.550000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2543158038","https://openalex.org/W2735036247","https://openalex.org/W2953679142","https://openalex.org/W2969483179","https://openalex.org/W2990937495","https://openalex.org/W3081869193","https://openalex.org/W3085749697","https://openalex.org/W3115513969","https://openalex.org/W3133706333","https://openalex.org/W3168066325","https://openalex.org/W3205838690","https://openalex.org/W4206025198","https://openalex.org/W4280502440","https://openalex.org/W4285209773","https://openalex.org/W4308120698","https://openalex.org/W4310413558","https://openalex.org/W4312922596","https://openalex.org/W4313389221","https://openalex.org/W4384158606"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4376453582","https://openalex.org/W4224009465","https://openalex.org/W3147033875","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W1568390478","https://openalex.org/W2764722704","https://openalex.org/W2155742919","https://openalex.org/W1914681266"],"abstract_inverted_index":{"The":[0,72,86,112],"benefits":[1,15],"of":[2,16,28,45,74,121,138],"artificial":[3],"intelligence":[4],"in":[5,50,58],"every":[6],"field":[7],"are":[8,61],"undeniable.":[9],"In":[10],"power":[11,29,38,51,59,99,127],"systems,":[12],"the":[13,43,63,67,107,117,136],"potential":[14],"AI":[17],"include":[18],"more":[19],"efficient":[20],"and":[21,26,34,36,48,66,92,119,124,130],"reliable":[22],"operation,":[23],"better":[24],"prediction":[25],"management":[27],"demand,":[30],"improved":[31],"fault":[32],"detection":[33],"diagnosis,":[35],"enhanced":[37],"quality.":[39],"This":[40],"paper":[41],"explores":[42],"forecasting":[44,57,139],"voltage,":[46],"current,":[47],"frequency":[49],"systems.":[52],"Two":[53],"main":[54],"approaches":[55,76,94],"to":[56],"systems":[60],"compared:":[62],"statistical":[64,91],"approach":[65,123],"machine":[68],"learning":[69],"(ML)":[70],"approach.":[71],"accuracy":[73],"both":[75,90],"is":[77],"evaluated":[78],"simulating":[79],"measurements":[80],"obtained":[81],"from":[82],"instrument":[83],"transformers":[84],"(ITs).":[85],"results":[87,113],"show":[88],"that":[89],"ML":[93],"can":[95,125],"be":[96],"used":[97],"for":[98],"system":[100,128],"forecasting,":[101],"but":[102],"their":[103],"performance":[104],"depending":[105],"on":[106],"electric":[108],"quantities":[109],"being":[110],"forecasted.":[111],"provide":[114],"insights":[115],"into":[116],"strengths":[118],"weaknesses":[120],"each":[122],"help":[126],"operators":[129],"planners":[131],"make":[132],"informed":[133],"decisions":[134],"about":[135],"choice":[137],"methods.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
