{"id":"https://openalex.org/W2951977625","doi":"https://doi.org/10.1145/3307772.3331022","title":"Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions","display_name":"Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2951977625","doi":"https://doi.org/10.1145/3307772.3331022","mag":"2951977625"},"language":"en","primary_location":{"id":"doi:10.1145/3307772.3331022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3331022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Future Energy Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5116437777","display_name":"Michael Vollmer","orcid":"https://orcid.org/0000-0001-6946-387X"},"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":"Michael Vollmer","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053128825","display_name":"Adrian Englhardt","orcid":"https://orcid.org/0000-0002-0388-1785"},"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":"Adrian Englhardt","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032207241","display_name":"Holger Trittenbach","orcid":"https://orcid.org/0000-0003-0049-9000"},"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":"Holger Trittenbach","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824529","display_name":"Pawel Bielski","orcid":"https://orcid.org/0009-0005-3242-9113"},"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":"Pawel Bielski","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063613856","display_name":"Shahab Karrari","orcid":"https://orcid.org/0000-0002-4036-2466"},"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":"Shahab Karrari","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049768806","display_name":"Klemens B\u00f6hm","orcid":"https://orcid.org/0000-0002-1706-1913"},"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":"Klemens B\u00f6hm","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT), Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT), Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102335020"],"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":"474","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9879999756813049,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7958146333694458},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.615216076374054},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5931405425071716},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5746239423751831},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5539236068725586},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5019996166229248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5017094612121582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5016403198242188},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49927186965942383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4970760643482208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4722793996334076},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46484842896461487},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4483826458454132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7958146333694458},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.615216076374054},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5931405425071716},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5746239423751831},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5539236068725586},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5019996166229248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5017094612121582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5016403198242188},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49927186965942383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4970760643482208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4722793996334076},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46484842896461487},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4483826458454132},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307772.3331022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307772.3331022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM 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":0.6000000238418579,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1509579154","https://openalex.org/W1579694346","https://openalex.org/W1658736502","https://openalex.org/W1862394037","https://openalex.org/W1972632157","https://openalex.org/W1975994995","https://openalex.org/W1993332189","https://openalex.org/W1994042232","https://openalex.org/W2009082127","https://openalex.org/W2017867711","https://openalex.org/W2025423356","https://openalex.org/W2038752487","https://openalex.org/W2039059276","https://openalex.org/W2055345525","https://openalex.org/W2064759762","https://openalex.org/W2069664287","https://openalex.org/W2075714842","https://openalex.org/W2086087296","https://openalex.org/W2091189230","https://openalex.org/W2100955315","https://openalex.org/W2111317215","https://openalex.org/W2115712706","https://openalex.org/W2116313798","https://openalex.org/W2120122927","https://openalex.org/W2123910460","https://openalex.org/W2125353221","https://openalex.org/W2127708149","https://openalex.org/W2134751203","https://openalex.org/W2151729265","https://openalex.org/W2154053567","https://openalex.org/W2159318234","https://openalex.org/W2164274563","https://openalex.org/W2332483957","https://openalex.org/W2367397349","https://openalex.org/W2402668406","https://openalex.org/W2522847100","https://openalex.org/W2534662286","https://openalex.org/W2545001194","https://openalex.org/W2568388123","https://openalex.org/W2615044227","https://openalex.org/W2697608749","https://openalex.org/W2770705125","https://openalex.org/W2770861978","https://openalex.org/W2786918196","https://openalex.org/W2793624120","https://openalex.org/W2803256322","https://openalex.org/W2804170114","https://openalex.org/W2883319866","https://openalex.org/W2892640692","https://openalex.org/W2962790223","https://openalex.org/W2963996257","https://openalex.org/W2966741367","https://openalex.org/W3004804023","https://openalex.org/W3098846496","https://openalex.org/W3103017793","https://openalex.org/W3169372665"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,27,98],"from":[2,74],"energy":[3,37,62,75],"time":[4,38,76],"series":[5,39,77],"gives":[6],"way":[7],"to":[8,53,122,142],"use":[9,81,120,148],"data":[10],"mining":[11],"methods":[12],"that":[13,135],"require":[14],"static":[15],"vectors":[16],"as":[17],"an":[18,127],"input.":[19],"However,":[20],"there":[21],"is":[22,40],"a":[23,31,79,146],"plethora":[24],"of":[25,34,71,89],"feature":[26,55,97],"methods,":[28],"and":[29,104,138],"selecting":[30],"good":[32],"set":[33],"features":[35,73,116,144],"for":[36,57,78,86,118,126,145],"difficult.":[41],"In":[42],"this":[43,65],"article,":[44],"we":[45,67,114],"make":[46],"some":[47],"strides":[48],"towards":[49],"the":[50,61,69],"long-term":[51],"vision":[52],"guide":[54],"selection":[56],"emerging":[58],"applications":[59],"in":[60],"domain.":[63],"To":[64],"end,":[66],"study":[68],"issue":[70],"extracting":[72],"novel":[80,147],"case:":[82],"Deriving":[83],"human-understandable":[84],"descriptions":[85,125],"smart-meter":[87],"measurements":[88],"industrial":[90,128],"production":[91,129],"machines.":[92],"We":[93],"first":[94],"categorize":[95],"existing":[96],"based":[99],"on":[100,105,112],"their":[101,106],"technical":[102],"specifications":[103],"usefulness":[107],"with":[108],"our":[109,119,136],"application.":[110],"Based":[111],"it,":[113],"select":[115,143],"suitable":[117],"case":[121],"derive":[123],"machine":[124],"facility.":[130],"Our":[131],"experimental":[132],"results":[133],"show":[134],"overview":[137],"categorization":[139],"are":[140],"useful":[141],"case.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
