{"id":"https://openalex.org/W4414538991","doi":"https://doi.org/10.1109/icc52391.2025.11161554","title":"Privacy-Preserving Socio-Aware Short-Term Residential Load Forecasting","display_name":"Privacy-Preserving Socio-Aware Short-Term Residential Load Forecasting","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538991","doi":"https://doi.org/10.1109/icc52391.2025.11161554"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5100723904","display_name":"Weilong Chen","orcid":"https://orcid.org/0000-0003-0572-0499"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilong Chen","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740284","display_name":"Jian Shi","orcid":"https://orcid.org/0000-0002-5456-7868"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Shi","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yixin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Liang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101662617","display_name":"Ling Zhu","orcid":"https://orcid.org/0000-0002-6838-9492"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687836","display_name":"Zheng Chang","orcid":"https://orcid.org/0000-0002-8986-6841"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632845","display_name":"Yanru Zhang","orcid":"https://orcid.org/0000-0003-4182-2150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanru Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023381631","display_name":"Zhu Han","orcid":"https://orcid.org/0000-0002-8602-864X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Han","raw_affiliation_strings":["University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Department of Electrical and Computer Engineering,Houston,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3906","last_page":"3911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.7839000225067139,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.7839000225067139,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.6704999804496765,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4318000078201294},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4235999882221222},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.36629998683929443},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.364300012588501},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.3488999903202057},{"id":"https://openalex.org/keywords/technology-forecasting","display_name":"Technology forecasting","score":0.3458000123500824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660000085830688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4422999918460846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44130000472068787},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4318000078201294},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4235999882221222},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.36629998683929443},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C2776743756","wikidata":"https://www.wikidata.org/wiki/Q5097921","display_name":"Safeguarding","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4144023154","display_name":null,"funder_award_id":"ECCS-2302469","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1994687127","https://openalex.org/W2043568875","https://openalex.org/W2044857874","https://openalex.org/W2062582534","https://openalex.org/W2067576900","https://openalex.org/W2100662401","https://openalex.org/W2597866042","https://openalex.org/W2995394700","https://openalex.org/W3176181793","https://openalex.org/W3211383222","https://openalex.org/W3212946609","https://openalex.org/W4285221210","https://openalex.org/W4360996221","https://openalex.org/W4376631483","https://openalex.org/W4382203079"],"related_works":[],"abstract_inverted_index":{"This":[0,122],"paper":[1,123],"introduces":[2],"a":[3,56],"novel":[4],"approach":[5],"named":[6,60],"the":[7,19,61,96,99,133],"Privacy-Preserving":[8],"Socio-Aware":[9],"Model":[10],"(PSocLF)":[11],"for":[12,21,140],"Short-Term":[13],"Residential":[14],"Load":[15],"Forecasting,":[16],"which":[17,65],"addresses":[18],"need":[20],"forecasting":[22,41,46,130,142],"models":[23,42],"tailored":[24],"to":[25,85,125],"district-specific":[26],"socio-demographic":[27],"characteristics.":[28],"By":[29],"leveraging":[30],"sociodemographic":[31,118,138],"characteristics":[32,119],"and":[33,81,107,131,144],"personalized":[34],"socio-aware":[35],"knowledge":[36],"sharing,":[37],"PSocLF":[38,101],"develops":[39],"district-level":[40],"that":[43],"enhance":[44],"load":[45,129],"precision":[47],"while":[48],"safeguarding":[49],"individual":[50],"privacy.":[51],"Within":[52],"PSocLF,":[53],"we":[54],"propose":[55],"new":[57],"model":[58,110],"structure":[59,111],"Self-Gating":[62],"TSMixer":[63],"(SGTSMixer),":[64],"integrates":[66],"self-gating":[67],"mixing":[68],"procedures":[69],"with":[70,116],"stacked":[71],"multi-layer":[72],"perceptrons":[73],"(MLPs).":[74],"It":[75],"can":[76],"efficiently":[77],"extract":[78],"temporal":[79],"patterns":[80],"incorporate":[82],"socioaware":[83],"information":[84,139],"improve":[86],"prediction":[87],"accuracy.":[88],"Simulation":[89],"results":[90],"based":[91],"on":[92],"real-world":[93],"data":[94],"demonstrate":[95],"effectiveness":[97],"of":[98,136],"proposed":[100],"framework,":[102],"outperforming":[103],"alternative":[104],"training":[105],"paradigms":[106],"benchmarks":[108],"in":[109,114],"design,":[112],"particularly":[113],"scenarios":[115],"varying":[117],"among":[120],"districts.":[121],"contributes":[124],"advancing":[126],"federated":[127],"residential":[128],"highlights":[132],"practical":[134],"benefits":[135],"integrating":[137],"improved":[141],"accuracy":[143],"effectiveness.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
