{"id":"https://openalex.org/W2803352260","doi":"https://doi.org/10.1145/3208903.3212051","title":"Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series","display_name":"Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2803352260","doi":"https://doi.org/10.1145/3208903.3212051","mag":"2803352260"},"language":"en","primary_location":{"id":"doi:10.1145/3208903.3212051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3212051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","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/A5081705123","display_name":"Nicole Ludwig","orcid":"https://orcid.org/0000-0003-3230-8918"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicole Ludwig","raw_affiliation_strings":["Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048243341","display_name":"Simon Waczowicz","orcid":"https://orcid.org/0000-0002-9064-0196"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Waczowicz","raw_affiliation_strings":["Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001459055","display_name":"Ralf Mikut","orcid":"https://orcid.org/0000-0001-9100-5496"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Mikut","raw_affiliation_strings":["Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014228448","display_name":"Veit Hagenmeyer","orcid":"https://orcid.org/0000-0002-3572-9083"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Veit Hagenmeyer","raw_affiliation_strings":["Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3325,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54969693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"434","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017581462860107},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6212728023529053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5565810203552246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5130800008773804},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46671077609062195},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32095223665237427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.278441846370697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017581462860107},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6212728023529053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5565810203552246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5130800008773804},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46671077609062195},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32095223665237427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.278441846370697},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3208903.3212051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3208903.3212051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Conference on Future Energy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8199999928474426,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4442820641","display_name":null,"funder_award_id":"GRK 2153","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1498962818","https://openalex.org/W2006761268","https://openalex.org/W2123910460"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2033914206","https://openalex.org/W2146076056","https://openalex.org/W3003836766","https://openalex.org/W2893763841","https://openalex.org/W2163831990","https://openalex.org/W2368779261","https://openalex.org/W2794438528","https://openalex.org/W2378160586","https://openalex.org/W1978450727"],"abstract_inverted_index":{"Finding":[0],"and":[1,104,126],"extracting":[2],"standard":[3,99,135],"patterns":[4],"in":[5,130,137],"energy":[6,138],"time":[7,139],"series":[8,140],"is":[9,37,47,62,66,81],"very":[10],"important":[11],"to":[12,73,119,133],"many":[13],"real-world":[14,162],"applications.":[15,163],"Hence,":[16],"there":[17],"exists":[18],"a":[19,26,82,88,91,102,116],"multitude":[20],"of":[21,28,35,71,101,109],"pattern":[22,60,84],"recognition":[23],"algorithms":[24],"with":[25,68],"majority":[27],"them":[29],"being":[30],"supervised":[31],"ones.":[32],"The":[33,112],"advantage":[34],"supervision":[36],"that":[38],"it":[39],"can":[40],"easily":[41],"be":[42],"checked":[43],"if":[44,53],"the":[45,69,77,98,149,152],"algorithm":[46],"performing":[48],"well":[49],"or":[50,90],"not.":[51],"However,":[52],"no":[54],"labels":[55],"are":[56,154],"available,":[57],"an":[58],"unsupervised":[59],"search":[61,65],"necessary.":[63],"This":[64,156],"faced":[67],"challenge":[70],"how":[72],"measure":[74],"success.":[75],"Thus":[76],"question":[78],"arises,":[79],"when":[80],"found":[83],"--":[85,95,123,129],"for":[86,161],"example":[87],"motif":[89,127],"mean":[92],"cluster":[93],"curve":[94],"really":[96],"describing":[97],"behaviour":[100],"process":[103],"not":[105],"just":[106],"some":[107],"kind":[108],"irrelevant":[110],"behaviour?":[111],"present":[113],"paper":[114],"introduces":[115],"new":[117],"method":[118],"assess":[120],"two":[121],"methods":[122,147],"namely":[124],"clustering":[125],"discovery":[128],"their":[131],"quest":[132],"find":[134],"profiles":[136],"data":[141],"from":[142],"industrial":[143],"processes.":[144],"Although":[145],"both":[146],"share":[148],"same":[150],"aim,":[151],"results":[153],"incongruent.":[155],"finding":[157],"has":[158],"profound":[159],"implications":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}