{"id":"https://openalex.org/W4391094415","doi":"https://doi.org/10.1109/iciscae59047.2023.10392415","title":"Calibrations of Ten-Meter Wind Speed Prediction over the Yunnan-Kweichow Plateau Based on the U-Net Neural Network","display_name":"Calibrations of Ten-Meter Wind Speed Prediction over the Yunnan-Kweichow Plateau Based on the U-Net Neural Network","publication_year":2023,"publication_date":"2023-09-23","ids":{"openalex":"https://openalex.org/W4391094415","doi":"https://doi.org/10.1109/iciscae59047.2023.10392415"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae59047.2023.10392415","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5101794728","display_name":"Xiangyong Li","orcid":"https://orcid.org/0000-0002-7579-2482"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyong Li","raw_affiliation_strings":["Yunnan Power Grid Co., Ltd.,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Power Grid Co., Ltd.,Kunming,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101942636","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-0022-3082"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["NUIST,School of Atmospheric Sciences,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"NUIST,School of Atmospheric Sciences,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041809349","display_name":"Yigong Xie","orcid":"https://orcid.org/0009-0004-6027-8503"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yigong Xie","raw_affiliation_strings":["Yunnan Power Grid Co., Ltd.,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Power Grid Co., Ltd.,Kunming,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055547427","display_name":"Yang Lyu","orcid":"https://orcid.org/0000-0002-2333-4383"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lyu","raw_affiliation_strings":["NUIST,School of Atmospheric Sciences,Nanjing,China","School of Atmospheric Sciences, NUIST, Nanjing, China","Key Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"NUIST,School of Atmospheric Sciences,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Atmospheric Sciences, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Key Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023291063","display_name":"Jinding He","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinding He","raw_affiliation_strings":["Yunnan Power Grid Co., Ltd.,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Power Grid Co., Ltd.,Kunming,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113101476","display_name":"Guangdi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangdi Chen","raw_affiliation_strings":["NUIST,School of Atmospheric Sciences,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"NUIST,School of Atmospheric Sciences,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101794728"],"corresponding_institution_ids":["https://openalex.org/I74872605"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18194226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"293","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9988999962806702,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9988999962806702,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9412000179290771,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.8433142900466919},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.8093684315681458},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.773051917552948},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.7560198307037354},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6109871864318848},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5880285501480103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5795812010765076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3319547772407532},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33034420013427734},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17878907918930054},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1697750985622406},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13161465525627136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13107725977897644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11401188373565674},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05735743045806885}],"concepts":[{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.8433142900466919},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.8093684315681458},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.773051917552948},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.7560198307037354},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6109871864318848},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5880285501480103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5795812010765076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3319547772407532},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33034420013427734},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17878907918930054},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1697750985622406},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13161465525627136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13107725977897644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11401188373565674},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05735743045806885},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae59047.2023.10392415","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2013292154","https://openalex.org/W2036635632","https://openalex.org/W2353571302","https://openalex.org/W2913323966","https://openalex.org/W3171394698","https://openalex.org/W4246765045","https://openalex.org/W4296396600","https://openalex.org/W4304127661","https://openalex.org/W4315651764","https://openalex.org/W4367314848","https://openalex.org/W4377821752","https://openalex.org/W4386255803","https://openalex.org/W4386267289"],"related_works":["https://openalex.org/W2380822794","https://openalex.org/W2371412468","https://openalex.org/W2387009654","https://openalex.org/W2362850705","https://openalex.org/W2363139519","https://openalex.org/W2376972926","https://openalex.org/W2379086028","https://openalex.org/W60605812","https://openalex.org/W2376451758","https://openalex.org/W2006957909"],"abstract_inverted_index":{"In":[0],"our":[1],"study,":[2],"we":[3,50],"used":[4],"a":[5,32],"deep":[6],"learning":[7],"approach,":[8],"namely":[9],"U-Net,":[10],"to":[11,39],"enhance":[12],"the":[13,21,26,29,44,47,59,67,78,82,89,104,112,116],"forecasting":[14],"accuracy":[15,72],"of":[16,46,81,100],"10-meter":[17],"wind":[18,75,105],"speed":[19,76,106],"in":[20,73,77,88,108],"Yunnan-Kweichow":[22],"Plateau.":[23],"We":[24],"conducted":[25],"analysis":[27],"using":[28],"GEFS":[30,68],"for":[31],"forecast":[33],"lead":[34],"time":[35],"ranging":[36],"from":[37],"1":[38],"7":[40],"days.":[41],"To":[42],"assess":[43],"effectiveness":[45],"U-Net":[48,113],"model,":[49],"compared":[51],"it":[52],"with":[53],"two":[54],"conventional":[55],"linear":[56],"statistical":[57],"techniques:":[58],"DAM":[60],"and":[61,91],"ULR.":[62],"The":[63],"findings":[64],"revealed":[65],"that":[66],"forecasts":[69],"exhibited":[70],"inadequate":[71],"predicting":[74],"central":[79],"region":[80],"plateau.":[83],"However,":[84],"they":[85],"performed":[86],"well":[87],"western":[90],"northern":[92],"regions.":[93],"All":[94],"three":[95],"methods":[96],"demonstrated":[97],"some":[98],"level":[99],"calibration":[101,119],"effect":[102],"on":[103],"predictions":[107],"this":[109],"region,":[110],"but":[111],"model":[114],"having":[115],"most":[117],"effective":[118],"performance.":[120]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
