{"id":"https://openalex.org/W4412129339","doi":"https://doi.org/10.1109/ias62731.2025.11061382","title":"Extreme Weather Forecasting Using Quantum-Enhanced LSTM Network","display_name":"Extreme Weather Forecasting Using Quantum-Enhanced LSTM Network","publication_year":2025,"publication_date":"2025-06-15","ids":{"openalex":"https://openalex.org/W4412129339","doi":"https://doi.org/10.1109/ias62731.2025.11061382"},"language":"en","primary_location":{"id":"doi:10.1109/ias62731.2025.11061382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5101453079","display_name":"Ying\u2010Yi Hong","orcid":"https://orcid.org/0000-0002-9540-3931"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ying-Yi Hong","raw_affiliation_strings":["Chung Yuan Christian University (CYCU),Department of Electrical Engineering,Taoyuan,Taiwan,32023"],"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University (CYCU),Department of Electrical Engineering,Taoyuan,Taiwan,32023","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102515451","display_name":"Daryll John O. Medina","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Daryll John O. Medina","raw_affiliation_strings":["Chung Yuan Christian University (CYCU),Department of Electrical Engineering,Taoyuan,Taiwan,32023"],"affiliations":[{"raw_affiliation_string":"Chung Yuan Christian University (CYCU),Department of Electrical Engineering,Taoyuan,Taiwan,32023","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060587527","display_name":"Yun-Yuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Yun-Yuan Wang","raw_affiliation_strings":["NVIDIA Corporation,NVIDIA AI Technology Center,New Taipei City,Taiwan"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation,NVIDIA AI Technology Center,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101453079"],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":null,"apc_paid":null,"fwci":1.0328,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78182423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9422000050544739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.6674902439117432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013224124908447},{"id":"https://openalex.org/keywords/extreme-weather","display_name":"Extreme weather","score":0.5099893808364868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44138282537460327},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.41317468881607056},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.33520781993865967},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15924152731895447},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11075779795646667},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.10667884349822998},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.07949167490005493}],"concepts":[{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.6674902439117432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013224124908447},{"id":"https://openalex.org/C205537798","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Extreme weather","level":3,"score":0.5099893808364868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44138282537460327},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.41317468881607056},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.33520781993865967},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15924152731895447},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11075779795646667},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.10667884349822998},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.07949167490005493}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias62731.2025.11061382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias62731.2025.11061382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8100000023841858,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1988369744","https://openalex.org/W2015811642","https://openalex.org/W2103956991","https://openalex.org/W2104975388","https://openalex.org/W2122823404","https://openalex.org/W2174075503","https://openalex.org/W2559394418","https://openalex.org/W2798434869","https://openalex.org/W2896712926","https://openalex.org/W3108900362","https://openalex.org/W4297102734","https://openalex.org/W4367550707","https://openalex.org/W4386764008","https://openalex.org/W4389159513","https://openalex.org/W4399310780","https://openalex.org/W4403059058","https://openalex.org/W4404704407"],"related_works":["https://openalex.org/W2958561312","https://openalex.org/W1480156024","https://openalex.org/W3092347950","https://openalex.org/W65938850","https://openalex.org/W275718980","https://openalex.org/W2361731950","https://openalex.org/W2618707070","https://openalex.org/W4223932376","https://openalex.org/W188660134","https://openalex.org/W3174060799"],"abstract_inverted_index":{"This":[0,130],"study":[1],"investigates":[2],"the":[3,11,31,58,87,126,134,146,160],"potential":[4],"of":[5,13,33,81,101,114,137,164],"quantum":[6,44,59,62,138],"machine":[7,139],"learning":[8,140],"to":[9,64,133],"enhance":[10],"accuracy":[12,91],"typhoon":[14,82,94,152],"forecasting,":[15,111],"with":[16,112],"a":[17,43,47,78],"particular":[18],"emphasis":[19],"on":[20,77],"its":[21,142],"implications":[22],"for":[23,105,116,120,125,148],"photovoltaic":[24],"(PV)":[25],"and":[26,103,107,123,141,154,162,166],"wind":[27,117,121,128,167],"turbine":[28,168],"systems":[29,169],"in":[30,92,151,158,170],"context":[32],"extreme":[34],"weather":[35],"preparedness.":[36],"A":[37],"novel":[38],"approach":[39],"is":[40,75],"proposed,":[41],"integrating":[42],"layer":[45,60],"into":[46],"multi-model":[48],"Long":[49],"Short-Term":[50],"Memory":[51],"(LSTM)":[52],"network":[53],"architecture.":[54],"Implemented":[55],"using":[56],"CUDA-Q,":[57],"leverages":[61],"phenomena":[63],"process":[65],"typhoon-related":[66],"data":[67],"more":[68],"effectively.":[69],"The":[70],"proposed":[71],"quantum-enhanced":[72],"LSTM":[73],"model":[74,88],"evaluated":[76],"large":[79],"dataset":[80],"observations.":[83],"Results":[84],"demonstrate":[85],"that":[86],"achieves":[89],"promising":[90],"both":[93],"track":[95],"forecasting\u2014yielding":[96],"mean":[97],"absolute":[98],"errors":[99],"(MAE)":[100],"0.0188":[102],"0.0307":[104],"latitude":[106],"longitude,":[108],"respectively\u2014and":[109],"intensity":[110],"MAEs":[113],"0.0233":[115],"speed,":[118],"0.0449":[119],"direction,":[122],"0.0022":[124],"50-knot":[127],"radius.":[129],"research":[131],"contributes":[132],"growing":[135],"field":[136],"practical":[143],"applications,":[144],"paving":[145],"way":[147],"future":[149],"advancements":[150],"prediction":[153],"disaster":[155],"resilience,":[156],"particularly":[157],"optimizing":[159],"operation":[161],"robustness":[163],"PV":[165],"typhoon-prone":[171],"regions.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}