{"id":"https://openalex.org/W4401168427","doi":"https://doi.org/10.1145/3674225.3674288","title":"Research on Seasonal Rural Distribution Network Load Stochastic Model Based on Kernel Density Estimation Theory","display_name":"Research on Seasonal Rural Distribution Network Load Stochastic Model Based on Kernel Density Estimation Theory","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401168427","doi":"https://doi.org/10.1145/3674225.3674288"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","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":null,"display_name":"Yanze Wang","orcid":"https://orcid.org/0009-0007-6106-9174"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanze Wang","raw_affiliation_strings":["State Grid Dandong Electric Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0007-6106-9174","affiliations":[{"raw_affiliation_string":"State Grid Dandong Electric Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101090491","display_name":"Tian Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xin","raw_affiliation_strings":["State Grid Dandong Electric Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0008-0957-8825","affiliations":[{"raw_affiliation_string":"State Grid Dandong Electric Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106063833","display_name":"Zhiyu Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Teng","raw_affiliation_strings":["State Grid Dandong Electric Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0009-7546-6554","affiliations":[{"raw_affiliation_string":"State Grid Dandong Electric Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Wang","orcid":"https://orcid.org/0009-0008-3003-4048"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["State Grid Dandong Electric Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0008-3003-4048","affiliations":[{"raw_affiliation_string":"State Grid Dandong Electric Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dawei Zhang","orcid":"https://orcid.org/0009-0002-5123-7617"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Zhang","raw_affiliation_strings":["State Grid Dandong Electric Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0002-5123-7617","affiliations":[{"raw_affiliation_string":"State Grid Dandong Electric Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09085801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9948999881744385,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9948999881744385,"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/T14276","display_name":"Power Systems and Technologies","score":0.9897000193595886,"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/T14042","display_name":"Technology and Security Systems","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/estimation","display_name":"Estimation","score":0.6030126214027405},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.6016778945922852},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5815073251724243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.52149498462677},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47143808007240295},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3469349145889282},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32376378774642944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2981681823730469},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14856263995170593}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6030126214027405},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.6016778945922852},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5815073251724243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.52149498462677},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47143808007240295},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3469349145889282},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32376378774642944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2981681823730469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14856263995170593},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","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":2,"referenced_works":["https://openalex.org/W2991198822","https://openalex.org/W3154701018"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W1519970947","https://openalex.org/W4243860260","https://openalex.org/W4383503847","https://openalex.org/W2342695897","https://openalex.org/W2216265843"],"abstract_inverted_index":{"This":[0],"article":[1],"thoroughly":[2],"investigates":[3],"a":[4,29,37],"new":[5],"short-term":[6,24],"electric":[7,25,106,174],"load":[8,26,47,81,89,155,169],"forecasting":[9,27,98],"model":[10,22,74,111,117,161],"based":[11],"on":[12,60,69],"non-parametric":[13,134,151],"kernel":[14],"density":[15],"estimation.":[16],"Diverging":[17],"from":[18,171],"conventional":[19],"approaches,":[20],"this":[21,145],"treats":[23],"as":[28],"problem":[30],"of":[31,41,54,63,77,88,105,116,125,133,150,159,167],"nonlinear":[32],"time":[33],"series":[34],"analysis,":[35],"enabling":[36],"more":[38],"accurate":[39],"capture":[40],"the":[42,51,86,101,110,114,123,148,160,165],"inherent":[43],"correlations":[44],"in":[45,154],"sequential":[46],"data.":[48,72],"It":[49],"circumvents":[50],"common":[52],"biases":[53],"parameter":[55],"estimation":[56,139,143],"methods,":[57],"eliminating":[58],"reliance":[59],"subjective":[61],"selection":[62,115],"influencing":[64],"factors":[65],"and":[66,103,122,140],"reducing":[67],"dependence":[68],"extensive":[70],"historical":[71,168],"The":[73,157],"is":[75,162],"capable":[76],"not":[78],"only":[79],"estimating":[80],"intervals":[82],"but":[83],"also":[84],"predicting":[85],"probability":[87],"values":[90],"within":[91],"specific":[92],"numerical":[93],"ranges,":[94],"thereby":[95],"providing":[96],"comprehensive":[97],"information":[99],"for":[100],"operation":[102],"planning":[104],"power":[107,175],"systems.":[108],"Additionally,":[109],"meticulously":[112],"addresses":[113],"order,":[118],"smoothing":[119],"parameters":[120],"(bandwidth),":[121],"calculation":[124],"predictive":[126],"confidence":[127],"intervals.":[128],"By":[129],"applying":[130],"two":[131],"types":[132],"kernels":[135],"\u2014":[136,144],"Nadaraya-Watson":[137],"(N-W)":[138],"local":[141],"polynomial":[142],"study":[146],"demonstrates":[147],"effectiveness":[149],"autoregressive":[152],"models":[153],"forecasting.":[156],"accuracy":[158],"validated":[163],"through":[164],"analysis":[166],"data":[170],"an":[172],"actual":[173],"system.":[176]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
