{"id":"https://openalex.org/W1635142054","doi":"https://doi.org/10.1109/ijcnn.2015.7280671","title":"Black-box modeling for temperature prediction in weather forecasting","display_name":"Black-box modeling for temperature prediction in weather forecasting","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1635142054","doi":"https://doi.org/10.1109/ijcnn.2015.7280671","mag":"1635142054"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","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/A5024115772","display_name":"Zahra Karevan","orcid":null},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Zahra Karevan","raw_affiliation_strings":["KU Leuven, ESAT-STADIUS, Leuven, Belgium","KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076867569","display_name":"Siamak Mehrkanoon","orcid":"https://orcid.org/0000-0002-0516-0391"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Siamak Mehrkanoon","raw_affiliation_strings":["KU Leuven, ESAT-STADIUS, Leuven, Belgium","KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078854904","display_name":"Johan A. K. Suykens","orcid":"https://orcid.org/0000-0002-8846-6352"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johan A.K. Suykens","raw_affiliation_strings":["KU Leuven, ESAT-STADIUS, Leuven, Belgium","KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, ESAT-STADIUS, Kasteelpark Arenberg 10, B-3001, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9958000183105469,"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"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9958000183105469,"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/T10320","display_name":"Neural Networks and Applications","score":0.9865000247955322,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9850000143051147,"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/black-box","display_name":"Black box","score":0.6268733143806458},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6239346265792847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5970357656478882},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5949886441230774},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5478248000144958},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.502089262008667},{"id":"https://openalex.org/keywords/white-box","display_name":"White box","score":0.499617338180542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48585984110832214},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.47249069809913635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4242391288280487},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41646426916122437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4152774214744568},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41079530119895935},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3087230324745178},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16007643938064575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14351597428321838}],"concepts":[{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.6268733143806458},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6239346265792847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5970357656478882},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5949886441230774},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5478248000144958},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.502089262008667},{"id":"https://openalex.org/C180932941","wikidata":"https://www.wikidata.org/wiki/Q997233","display_name":"White box","level":2,"score":0.499617338180542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48585984110832214},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.47249069809913635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4242391288280487},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41646426916122437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4152774214744568},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41079530119895935},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3087230324745178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16007643938064575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14351597428321838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/493885","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/493885/2/15-22.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCNN 2015, Killarney, Ireland, July 2015","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W79918814","https://openalex.org/W1496317909","https://openalex.org/W1596717185","https://openalex.org/W1998378660","https://openalex.org/W2001991385","https://openalex.org/W2014158063","https://openalex.org/W2037178322","https://openalex.org/W2042336720","https://openalex.org/W2063202388","https://openalex.org/W2087374184","https://openalex.org/W2111307099","https://openalex.org/W2113988163","https://openalex.org/W2115822915","https://openalex.org/W2122825543","https://openalex.org/W2124350323","https://openalex.org/W2127842029","https://openalex.org/W2135046866","https://openalex.org/W2160203977","https://openalex.org/W2180272227","https://openalex.org/W2400197280","https://openalex.org/W4233014035","https://openalex.org/W4240172095","https://openalex.org/W4255455317","https://openalex.org/W6603230449","https://openalex.org/W6659984503"],"related_works":["https://openalex.org/W2047881532","https://openalex.org/W2727407240","https://openalex.org/W1984273188","https://openalex.org/W154189287","https://openalex.org/W3033197410","https://openalex.org/W2601181618","https://openalex.org/W1855700431","https://openalex.org/W2385964753","https://openalex.org/W3016331820","https://openalex.org/W2548982044"],"abstract_inverted_index":{"Accurate":[0],"weather":[1],"forecasting":[2,63],"is":[3,26,40,58,80,99,102],"one":[4],"of":[5,15,36,71,74,94],"most":[6],"challenging":[7],"tasks":[8],"that":[9,104],"deals":[10],"with":[11,45,84,113],"a":[12,22,108],"large":[13],"amount":[14],"observations":[16],"and":[17,48,82,110],"features.":[18],"In":[19,65],"this":[20,75],"paper,":[21],"black-box":[23,105],"modeling":[24,106],"technique":[25],"proposed":[27],"for":[28,117],"temperature":[29,96,118],"forecasting.":[30],"Due":[31],"to":[32,60],"the":[33,62,66,69,78,89,92,95],"high":[34],"dimensionality":[35],"data,":[37],"feature":[38],"selection":[39],"done":[41],"in":[42,97],"two":[43],"steps":[44],"k-Nearest":[46],"Neighbors":[47],"Elastic":[49],"net.":[50],"Next,":[51],"Least":[52],"Squares":[53],"Support":[54],"Vector":[55],"Machine":[56],"regression":[57],"applied":[59],"generate":[61],"model.":[64],"experimental":[67],"results,":[68],"influence":[70],"each":[72],"part":[73],"procedure":[76],"on":[77],"performance":[79],"investigated":[81],"compared":[83],"\u201cWeather":[85],"underground\u201d":[86],"results.":[87],"For":[88],"case":[90],"study,":[91],"prediction":[93],"Brussels":[98],"considered.":[100],"It":[101],"shown":[103],"has":[107],"good":[109],"competitive":[111],"accuracy":[112],"current":[114],"state-of-the-art":[115],"methods":[116],"prediction.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
