{"id":"https://openalex.org/W2896179772","doi":"https://doi.org/10.20965/jaciii.2018.p0900","title":"Simultaneous Forecasting of Meteorological Data Based on a Self-Organizing Incremental Neural Network","display_name":"Simultaneous Forecasting of Meteorological Data Based on a Self-Organizing Incremental Neural Network","publication_year":2018,"publication_date":"2018-10-19","ids":{"openalex":"https://openalex.org/W2896179772","doi":"https://doi.org/10.20965/jaciii.2018.p0900","mag":"2896179772"},"language":"en","primary_location":{"id":"doi:10.20965/jaciii.2018.p0900","doi":"https://doi.org/10.20965/jaciii.2018.p0900","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2018.p0900","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.20965/jaciii.2018.p0900","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004607847","display_name":"Wonjik Kim","orcid":"https://orcid.org/0000-0003-1067-8096","observed_orcids":["https://orcid.org/0000-0003-1067-8096"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wonjik Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788579","display_name":"Osamu Hasegawa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osamu Hasegawa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2799,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63881753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"6","first_page":"900","last_page":"906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.923799991607666,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.923799991607666,"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"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.04780000075697899,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.00430000014603138,"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/self-organizing-incremental-neural-network","display_name":"self-organizing incremental neural network","score":0.9810000061988831},{"id":"https://openalex.org/keywords/temperature-prediction","display_name":"temperature prediction","score":0.8389999866485596},{"id":"https://openalex.org/keywords/humidity-prediction","display_name":"humidity prediction","score":0.9210000038146973},{"id":"https://openalex.org/keywords/wind-speed-forecasting","display_name":"wind speed forecasting","score":0.996999979019165},{"id":"https://openalex.org/keywords/energy-management-systems","display_name":"energy management systems","score":0.5299999713897705}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7565892934799194},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6735425591468811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103225946426392},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5489174127578735},{"id":"https://openalex.org/C151420433","wikidata":"https://www.wikidata.org/wiki/Q180600","display_name":"Humidity","level":2,"score":0.42884016036987305},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4165031909942627},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3874524235725403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2821768522262573},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.20965/jaciii.2018.p0900","doi":"https://doi.org/10.20965/jaciii.2018.p0900","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2018.p0900","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.20965/jaciii.2018.p0900","doi":"https://doi.org/10.20965/jaciii.2018.p0900","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2018.p0900","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.685699999332428,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1514832573","https://openalex.org/W1531857721","https://openalex.org/W1578649609","https://openalex.org/W1840414008","https://openalex.org/W1902889365","https://openalex.org/W1976667948","https://openalex.org/W1990517717","https://openalex.org/W1994994120","https://openalex.org/W2011529518","https://openalex.org/W2016287239","https://openalex.org/W2017751491","https://openalex.org/W2024692966","https://openalex.org/W2060606400","https://openalex.org/W2066122301","https://openalex.org/W2073847544","https://openalex.org/W2074715647","https://openalex.org/W2079233970","https://openalex.org/W2092315180","https://openalex.org/W2118209142","https://openalex.org/W2120250216","https://openalex.org/W2138754805","https://openalex.org/W2150159007","https://openalex.org/W2150522789","https://openalex.org/W2186501877","https://openalex.org/W2280154071","https://openalex.org/W2342650393","https://openalex.org/W2508682153","https://openalex.org/W2562487824","https://openalex.org/W2619628509","https://openalex.org/W2766687349","https://openalex.org/W2884811896","https://openalex.org/W3145457360"],"related_works":["https://openalex.org/W2766687349","https://openalex.org/W2884811896","https://openalex.org/W4402351248","https://openalex.org/W7130506669","https://openalex.org/W4317826544","https://openalex.org/W4289923307","https://openalex.org/W2617894828","https://openalex.org/W7165553110","https://openalex.org/W62663014","https://openalex.org/W4224862183"],"abstract_inverted_index":{"In":[0,72],"this":[1],"study,":[2],"we":[3],"propose":[4],"a":[5,15,38,55],"simultaneous":[6],"forecasting":[7,63],"model":[8,61,75,111,133,152],"for":[9,46,153,160],"meteorological":[10,50,155],"time-series":[11,51],"data":[12,45],"based":[13,145],"on":[14,37,54,146],"self-organizing":[16],"incremental":[17],"neural":[18,147],"network":[19],"(SOINN).":[20],"Meteorological":[21],"parameters":[22],"(i.e.,":[23],"temperature,":[24,27,64],"wet":[25],"bulb":[26],"humidity,":[28,65],"wind":[29,66],"speed,":[30],"atmospheric":[31,69],"pressure,":[32],"and":[33,68,87,100,122,149],"total":[34],"solar":[35],"radiation":[36],"horizontal":[39],"surface)":[40],"are":[41,134],"considered":[42],"as":[43],"input":[44],"the":[47,98,101,104,150],"prediction":[48],"of":[49,103,109,116,131],"information.":[52],"Based":[53],"SOINN":[56,99],"within":[57],"normalized-refined-meteorological":[58],"data,":[59],"proposed":[60,74,151],"succeeded":[62],"speed":[67],"pressure":[70],"simultaneously.":[71],"addition,":[73],"does":[76],"not":[77],"take":[78],"more":[79],"than":[80],"2":[81],"s":[82,89],"in":[83,90,143],"training":[84],"half-year":[85,92],"period":[86],"15":[88],"testing":[91],"period.":[93],"This":[94],"paper":[95],"also":[96,135],"elucidates":[97],"algorithm":[102],"learning":[105],"process.":[106],"The":[107,137],"effectiveness":[108],"our":[110,117,132],"is":[112],"established":[113],"by":[114,126],"comparison":[115],"results":[118,121,124],"with":[119,123],"experimental":[120],"obtained":[125,138],"another":[127],"model.":[128],"Three":[129],"advantages":[130],"described.":[136],"information":[139],"can":[140],"be":[141,158],"effective":[142],"applications":[144],"networks,":[148],"handling":[154],"phenomena":[156],"may":[157],"helpful":[159],"other":[161],"studies":[162],"worldwide":[163],"including":[164],"energy":[165],"management":[166],"system.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-10-26T00:00:00"}