{"id":"https://openalex.org/W2908443740","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587452","title":"Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements","display_name":"Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2908443740","doi":"https://doi.org/10.1109/smartgridcomm.2018.8587452","mag":"2908443740"},"language":"en","primary_location":{"id":"doi:10.1109/smartgridcomm.2018.8587452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","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/A5018930556","display_name":"Daniel Jorde","orcid":"https://orcid.org/0000-0003-2511-8817"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Jorde","raw_affiliation_strings":["Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053372661","display_name":"Thomas Kriechbaumer","orcid":"https://orcid.org/0000-0002-3917-1267"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Kriechbaumer","raw_affiliation_strings":["Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072791865","display_name":"Hans\u2010Arno Jacobsen","orcid":"https://orcid.org/0000-0003-0813-0101"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Arno Jacobsen","raw_affiliation_strings":["Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Application and Middleware Systems, Technische Universit\u00e4t, M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018930556"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.3863,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64938489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"269","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9997000098228455,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9997000098228455,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9902999997138977,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9901000261306763,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7449371218681335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965922117233276},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.6167552471160889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4480321407318115},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41719892621040344},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.24715125560760498},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13462784886360168}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7449371218681335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965922117233276},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.6167552471160889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4480321407318115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41719892621040344},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.24715125560760498},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13462784886360168}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartgridcomm.2018.8587452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartgridcomm.2018.8587452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1138573735","https://openalex.org/W1479651931","https://openalex.org/W1533861849","https://openalex.org/W1768149645","https://openalex.org/W1994042232","https://openalex.org/W1996944908","https://openalex.org/W2001582375","https://openalex.org/W2020517213","https://openalex.org/W2025383239","https://openalex.org/W2025423356","https://openalex.org/W2043279449","https://openalex.org/W2068113158","https://openalex.org/W2104153904","https://openalex.org/W2115033874","https://openalex.org/W2118978333","https://openalex.org/W2123910460","https://openalex.org/W2131634249","https://openalex.org/W2139393465","https://openalex.org/W2144445501","https://openalex.org/W2180331451","https://openalex.org/W2292311507","https://openalex.org/W2323005549","https://openalex.org/W2519091744","https://openalex.org/W2529337537","https://openalex.org/W2547715551","https://openalex.org/W2565341511","https://openalex.org/W2588951189","https://openalex.org/W2589634835","https://openalex.org/W2615044227","https://openalex.org/W2616473319","https://openalex.org/W2730936454","https://openalex.org/W2761004327","https://openalex.org/W2764060181","https://openalex.org/W2775375016","https://openalex.org/W2789145864","https://openalex.org/W2795358293","https://openalex.org/W2921676705","https://openalex.org/W2969945254","https://openalex.org/W3099873379","https://openalex.org/W6627345084","https://openalex.org/W6631943919","https://openalex.org/W6649617573","https://openalex.org/W6676993013","https://openalex.org/W6680919041","https://openalex.org/W6730980982","https://openalex.org/W6737744726","https://openalex.org/W6749085327","https://openalex.org/W6750028584","https://openalex.org/W6766816269"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4226493464","https://openalex.org/W3215138031","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3009238340","https://openalex.org/W3133861977","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911"],"abstract_inverted_index":{"Monitoring":[0],"the":[1,81],"energy":[2,13,21],"demand":[3],"of":[4,19,35,100],"appliances":[5],"can":[6,23,41],"raise":[7],"consumer":[8],"awareness":[9],"and":[10,26,38,84,97],"therefore":[11],"reduce":[12],"consumption.":[14],"Using":[15],"a":[16,30,92,98],"single-point":[17],"measurement":[18],"mains":[20],"consumption":[22],"keep":[24],"costs":[25],"hardware":[27],"complexity":[28],"to":[29,48,79],"minimum.":[31],"This":[32],"data":[33,87],"stream":[34],"raw":[36,64],"voltage":[37],"current":[39],"measurements":[40],"be":[42],"used":[43],"in":[44],"machine":[45],"learning":[46],"tasks":[47],"extract":[49],"information.":[50],"We":[51,73,90],"apply":[52],"Deep":[53],"Convolutional":[54],"Neural":[55],"Networks":[56],"on":[57,95,102],"an":[58],"electrical":[59],"appliance":[60],"classification":[61,94],"task,":[62],"using":[63],"high":[65],"frequency":[66],"start":[67],"up":[68],"events":[69],"from":[70],"two":[71],"datasets.":[72],"further":[74],"present":[75],"Data":[76],"Augmentation":[77],"techniques":[78],"improve":[80],"model":[82],"performance":[83],"evaluate":[85],"different":[86],"normalization":[88],"techniques.":[89],"achieve":[91],"perfect":[93],"WHITED":[96],"Fl-Score":[99],"0.69":[101],"PLAID.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}