{"id":"https://openalex.org/W4372260398","doi":"https://doi.org/10.1109/icassp49357.2023.10096943","title":"A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data","display_name":"A Wavelet Scattering Approach for Load Identification with Limited Amount of Training Data","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260398","doi":"https://doi.org/10.1109/icassp49357.2023.10096943"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096943","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5084960932","display_name":"Pascal A. Schirmer","orcid":"https://orcid.org/0000-0001-5434-4739"},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pascal A. Schirmer","raw_affiliation_strings":["University of Hertfordshire,CIS Group","CIS Group, University of Hertfordshire"],"affiliations":[{"raw_affiliation_string":"University of Hertfordshire,CIS Group","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"CIS Group, University of Hertfordshire","institution_ids":["https://openalex.org/I141584323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057320414","display_name":"Iosif Mporas","orcid":null},"institutions":[{"id":"https://openalex.org/I141584323","display_name":"University of Hertfordshire","ror":"https://ror.org/0267vjk41","country_code":"GB","type":"education","lineage":["https://openalex.org/I141584323"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iosif Mporas","raw_affiliation_strings":["University of Hertfordshire,CIS Group","CIS Group, University of Hertfordshire"],"affiliations":[{"raw_affiliation_string":"University of Hertfordshire,CIS Group","institution_ids":["https://openalex.org/I141584323"]},{"raw_affiliation_string":"CIS Group, University of Hertfordshire","institution_ids":["https://openalex.org/I141584323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084960932"],"corresponding_institution_ids":["https://openalex.org/I141584323"],"apc_list":null,"apc_paid":null,"fwci":0.1418,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41715169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9994000196456909,"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":0.9994000196456909,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.8172596096992493},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7221509218215942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626880407333374},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.6077247858047485},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5737124681472778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5584855079650879},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5382165312767029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5225617289543152},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4870050549507141},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4795650839805603},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4677688479423523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34867849946022034},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3438992500305176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24265944957733154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14523854851722717},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10869881510734558},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07407170534133911}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8172596096992493},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7221509218215942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626880407333374},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.6077247858047485},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5737124681472778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5584855079650879},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5382165312767029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5225617289543152},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4870050549507141},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4795650839805603},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4677688479423523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34867849946022034},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3438992500305176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24265944957733154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14523854851722717},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10869881510734558},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07407170534133911},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096943","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W50271627","https://openalex.org/W2020517213","https://openalex.org/W2057111548","https://openalex.org/W2072072671","https://openalex.org/W2123070597","https://openalex.org/W2123910460","https://openalex.org/W2209987497","https://openalex.org/W2343090960","https://openalex.org/W2465358378","https://openalex.org/W2697608749","https://openalex.org/W2904341746","https://openalex.org/W2904841534","https://openalex.org/W2908535058","https://openalex.org/W2940200204","https://openalex.org/W2949682416","https://openalex.org/W2952067596","https://openalex.org/W2971067036","https://openalex.org/W3008901316","https://openalex.org/W3054239538","https://openalex.org/W3170287740","https://openalex.org/W3170491487","https://openalex.org/W3199873924","https://openalex.org/W3207902192","https://openalex.org/W4206711244","https://openalex.org/W4285114834","https://openalex.org/W4285270266","https://openalex.org/W4289823872","https://openalex.org/W4296833442","https://openalex.org/W6796450078","https://openalex.org/W6796787173","https://openalex.org/W6839440729"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W1970292246","https://openalex.org/W2162306796","https://openalex.org/W2015118744","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W2005619368","https://openalex.org/W1879092539","https://openalex.org/W2526155427","https://openalex.org/W1976629859"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,12,22,31,101],"Non-Intrusive":[3],"Load":[4],"Monitoring":[5],"is":[6,42,55],"strongly":[7],"depending":[8],"on":[9],"the":[10,20,29,32,39,99,106],"choice":[11],"features":[13,33,64,73],"and":[14,61,67,70,104],"their":[15],"ability":[16],"to":[17,36,98,105],"uniquely":[18],"describe":[19],"signatures":[21],"different":[23,81],"appliances.":[24],"Especially":[25],"for":[26,52],"transfer-learning":[27],"applications,":[28],"invariance":[30],"with":[34],"respect":[35],"changes":[37],"in":[38],"time":[40],"domain":[41],"crucial.":[43],"In":[44,57],"this":[45],"article,":[46],"a":[47],"two-dimensional":[48],"wavelet":[49,87],"scattering":[50,88],"approach":[51],"load":[53,91],"identification":[54,92],"presented.":[56],"detail,":[58],"time-domain,":[59],"frequency-domain,":[60],"scattering-domain":[62],"based":[63],"are":[65,74,77],"investigated":[66],"both":[68],"1D":[69],"2D":[71],"input":[72],"considered,":[75],"which":[76],"evaluated":[78],"by":[79,93],"five":[80],"classifiers.":[82],"It":[83],"was":[84],"shown":[85],"that":[86],"outperforms":[89],"other":[90],"3.7%,":[94],"while":[95],"showing":[96],"robustness":[97],"amount":[100],"training":[102],"data":[103],"selected":[107],"sampling":[108],"frequency.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
