{"id":"https://openalex.org/W4403534602","doi":"https://doi.org/10.1109/codit62066.2024.10708532","title":"Identification of linear data-driven models for large-scale power systems","display_name":"Identification of linear data-driven models for large-scale power systems","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403534602","doi":"https://doi.org/10.1109/codit62066.2024.10708532"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/CoDIT62066.2024.10708532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114319849","display_name":"Elia Zuccaro","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elia Zuccaro","raw_affiliation_strings":["University of Pisa,Department of Information Engineering,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014734668","display_name":"Riccardo Bacci di Capaci","orcid":"https://orcid.org/0000-0001-6339-6303"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Bacci di Capaci","raw_affiliation_strings":["University of Pisa,Department of Civil and Industrial Engineering,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Civil and Industrial Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065996977","display_name":"Gabriele Pannocchia","orcid":"https://orcid.org/0000-0002-5578-344X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Pannocchia","raw_affiliation_strings":["University of Pisa,Department of Civil and Industrial Engineering,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Civil and Industrial Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081798016","display_name":"Ara Panosyan","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ara Panosyan","raw_affiliation_strings":["Siemens Energy - Grid Consulting,Erlangen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Energy - Grid Consulting,Erlangen,Germany","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1317","last_page":"1322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.8604999780654907,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.8604999780654907,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.8198000192642212,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.8091999888420105,"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/identification","display_name":"Identification (biology)","score":0.660220742225647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691140294075012},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5644551515579224},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4529624283313751},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08436828851699829},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06631842255592346}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.660220742225647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691140294075012},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5644551515579224},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4529624283313751},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08436828851699829},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06631842255592346},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/codit62066.2024.10708532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1257069","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1257069","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:zenodo.org:13990701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CoDIT62066.2024.10708532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"CODIT2024, 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), La Valletta, Malta, 1-4 July 2024","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:13990701","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CoDIT62066.2024.10708532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"CODIT2024, 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), La Valletta, Malta, 1-4 July 2024","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5799999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1484104892","https://openalex.org/W1574635556","https://openalex.org/W1741321902","https://openalex.org/W1982182688","https://openalex.org/W2009088888","https://openalex.org/W2034487019","https://openalex.org/W2039992771","https://openalex.org/W2071693778","https://openalex.org/W2109869845","https://openalex.org/W2130212796","https://openalex.org/W2136775256","https://openalex.org/W2142635246","https://openalex.org/W2506905705","https://openalex.org/W2796426236","https://openalex.org/W2899507740","https://openalex.org/W3125751296","https://openalex.org/W4240691156","https://openalex.org/W4254422234","https://openalex.org/W4288084146"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"linearization":[1,96,112],"of":[2,6,11,17,35,42,79,95,113,118,143,157,159,195],"the":[3,15,23,31,39,43,50,63,77,93,99,104,111,114,153,160,170,181],"full":[4],"model":[5,41,107,182],"electrical":[7],"power":[8,44,120,149],"systems":[9,121,150],"is":[10,46,90,108,167,178],"great":[12],"significance":[13],"for":[14,30,148,169,180],"adoption":[16],"linear":[18,64,140],"analysis":[19,55],"techniques":[20,187],"to":[21,151],"examine":[22],"system\u2019s":[24],"dynamic":[25],"characteristics,":[26],"as":[27,29,76],"well":[28],"design":[32],"and":[33,56,173,186,190,197],"tuning":[34,58],"practical":[36,73],"controllers.":[37],"Typically,":[38],"state-space":[40,65,126],"system":[45],"first":[47],"obtained":[48],"from":[49],"time":[51,81,105,115],"domain":[52,82,106,116],"model.":[53,66],"Linear":[54],"controller":[57],"are":[59,146,188],"then":[60,191],"performed":[61],"utilizing":[62],"This":[67],"approach":[68],"however":[69],"often":[70],"has":[71],"several":[72],"limitations,":[74],"such":[75],"unavailability":[78],"a":[80,174],"model,":[83],"when":[84],"only":[85],"simulation":[86],"or":[87,92],"measurement":[88],"data":[89,171],"available,":[91],"lack":[94],"capability":[97],"in":[98,102,123,136,193],"software":[100,166],"tool":[101],"which":[103,128],"available.":[109],"Moreover,":[110],"models":[117,142,185],"large-scale":[119],"results":[122],"very":[124],"high-dimension":[125],"models,":[127],"greatly":[129],"complicates":[130],"further":[131],"analysis.":[132],"To":[133],"this":[134,137],"aim,":[135],"paper,":[138],"suitable":[139],"data-driven":[141],"reduced":[144],"order":[145],"identified":[147],"retain":[152],"most":[154],"relevant":[155],"modes":[156],"oscillations":[158],"original":[161],"system.":[162],"A":[163],"commercial":[164],"rigorous":[165],"used":[168,179],"generation":[172],"well-established":[175],"Python":[176],"toolbox":[177],"identification:":[183],"different":[184],"applied":[189],"compared":[192],"terms":[194],"accuracy":[196],"simplicity.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
