{"id":"https://openalex.org/W2983574496","doi":"https://doi.org/10.1109/access.2019.2950328","title":"Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast","display_name":"Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2983574496","doi":"https://doi.org/10.1109/access.2019.2950328","mag":"2983574496"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2950328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950328","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886440.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063042566","display_name":"Tianyang Lin","orcid":"https://orcid.org/0000-0002-1228-8385"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Lin","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1228-8385","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005350496","display_name":"Qingyong Li","orcid":"https://orcid.org/0000-0002-3860-4809"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyong Li","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018191388","display_name":"Yangli\u2010ao Geng","orcid":"https://orcid.org/0000-0003-0173-4041"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangli-Ao Geng","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867731","display_name":"Lei Jiang","orcid":"https://orcid.org/0000-0002-1024-4856"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080303452","display_name":"Liangtao Xu","orcid":"https://orcid.org/0000-0001-7901-2925"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangtao Xu","raw_affiliation_strings":["State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062446951","display_name":"Dong Zheng","orcid":"https://orcid.org/0000-0002-1880-3296"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zheng","raw_affiliation_strings":["State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058751400","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0002-0622-8095"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008813351","display_name":"Weitao Lyu","orcid":"https://orcid.org/0000-0001-8434-6655"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Lyu","raw_affiliation_strings":["State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376298","display_name":"Yijun Zhang","orcid":"https://orcid.org/0000-0002-7573-424X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Zhang","raw_affiliation_strings":["Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7573-424X","affiliations":[{"raw_affiliation_string":"Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3218,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.7996264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"158296","last_page":"158307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9979000091552734,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7411586046218872},{"id":"https://openalex.org/keywords/lightning","display_name":"Lightning (connector)","score":0.6971625089645386},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6515575647354126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5250948667526245},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5015785694122314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42965346574783325},{"id":"https://openalex.org/keywords/forecast-skill","display_name":"Forecast skill","score":0.4182831048965454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3297315835952759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3238005042076111},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23485365509986877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11778706312179565},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09949085116386414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08933758735656738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411586046218872},{"id":"https://openalex.org/C69398868","wikidata":"https://www.wikidata.org/wiki/Q129052","display_name":"Lightning (connector)","level":3,"score":0.6971625089645386},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6515575647354126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5250948667526245},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5015785694122314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42965346574783325},{"id":"https://openalex.org/C170061395","wikidata":"https://www.wikidata.org/wiki/Q5468164","display_name":"Forecast skill","level":2,"score":0.4182831048965454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3297315835952759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3238005042076111},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23485365509986877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11778706312179565},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09949085116386414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08933758735656738},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2950328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950328","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b91e5063a2b948448ac11cb241fabc9c","is_oa":true,"landing_page_url":"https://doaj.org/article/b91e5063a2b948448ac11cb241fabc9c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 158296-158307 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2950328","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950328","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886440.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1428507187","display_name":null,"funder_award_id":"SM20191001107","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G6536460502","display_name":null,"funder_award_id":"PXM2019_014213_000007","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"},{"id":"https://openalex.org/G6566396879","display_name":null,"funder_award_id":"18CSH019","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G8404757585","display_name":null,"funder_award_id":"2017YFC1501503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8582793382","display_name":null,"funder_award_id":"18CSH019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2983574496.pdf","grobid_xml":"https://content.openalex.org/works/W2983574496.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1494059480","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1567184352","https://openalex.org/W1987324508","https://openalex.org/W2001644808","https://openalex.org/W2020712283","https://openalex.org/W2038155373","https://openalex.org/W2047838924","https://openalex.org/W2064675550","https://openalex.org/W2070381285","https://openalex.org/W2104340122","https://openalex.org/W2130942839","https://openalex.org/W2139038373","https://openalex.org/W2139405019","https://openalex.org/W2139501017","https://openalex.org/W2155027475","https://openalex.org/W2158844671","https://openalex.org/W2289261925","https://openalex.org/W2366267847","https://openalex.org/W2528639018","https://openalex.org/W2531409750","https://openalex.org/W2550553598","https://openalex.org/W2613328025","https://openalex.org/W2615413256","https://openalex.org/W2625614184","https://openalex.org/W2734443755","https://openalex.org/W2752782242","https://openalex.org/W2768348081","https://openalex.org/W2768975186","https://openalex.org/W2769039400","https://openalex.org/W2771590586","https://openalex.org/W2792141117","https://openalex.org/W2796873224","https://openalex.org/W2804422183","https://openalex.org/W2809444759","https://openalex.org/W2897876396","https://openalex.org/W2907586903","https://openalex.org/W2952042565","https://openalex.org/W2962854645","https://openalex.org/W2963326684","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963866658","https://openalex.org/W2964121744","https://openalex.org/W4385245566","https://openalex.org/W6628877408","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6634040194","https://openalex.org/W6679436768","https://openalex.org/W6728547873","https://openalex.org/W6738465933","https://openalex.org/W6739112683","https://openalex.org/W6739901393","https://openalex.org/W6745609711","https://openalex.org/W6745829810","https://openalex.org/W6750259706","https://openalex.org/W7067322892"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2333625343","https://openalex.org/W2074627651"],"abstract_inverted_index":{"Accurate":[0],"lightning":[1,13,38,59,71],"forecast":[2,14,45],"is":[3],"significant":[4],"for":[5,57,153],"disaster":[6],"prevention":[7],"and":[8,22,34,67,81,182],"reduction.":[9],"However,":[10],"the":[11,28,32,42,64,68,89,98,105,110,127,135,143,147,154,164,175],"mainstream":[12],"methods,":[15],"which":[16,61,124],"mainly":[17],"rely":[18],"on":[19,158],"numerical":[20,65,116],"simulations":[21,66],"parameterizations,":[23],"can":[24],"hardly":[25],"cope":[26],"with":[27],"spatiotemporal":[29],"deviations.":[30],"Meanwhile,":[31],"rapid":[33],"complex":[35],"evolution":[36],"of":[37,76,88,93,100,112,129,149,177],"regions":[39],"go":[40],"beyond":[41],"traditional":[43],"extrapolation-based":[44],"methods.":[46,170],"In":[47],"this":[48],"work,":[49],"we":[50,118],"propose":[51],"a":[52,120,159],"data-driven":[53],"neural":[54],"network":[55],"model":[56,144],"hourly":[58],"forecast,":[60],"exploits":[62],"both":[63],"recent":[69],"historical":[70],"observations.":[72],"The":[73,91,138],"two":[74],"kinds":[75],"data":[77,95,179],"complement":[78],"each":[79,130,150],"other":[80],"play":[82],"different":[83,86],"roles":[84],"at":[85],"stages":[87],"forecast.":[90,155],"use":[92],"dual-source":[94],"greatly":[96],"increases":[97],"amount":[99],"information":[101],"available":[102],"to":[103,133,145],"improve":[104],"forecasting":[106],"performance.":[107],"To":[108],"handle":[109],"variability":[111],"deviation":[113],"patterns":[114],"in":[115],"simulations,":[117],"introduce":[119],"channel-wise":[121],"attention":[122,139,183],"mechanism,":[123],"adaptively":[125],"adjusts":[126],"proportion":[128],"simulated":[131,151],"parameter":[132,152],"maximize":[134],"useful":[136],"information.":[137],"mechanism":[140],"also":[141],"enables":[142],"reveal":[146],"contribution":[148],"Experimental":[156],"results":[157],"real-world":[160],"dataset":[161],"show":[162],"that":[163],"proposed":[165],"method":[166],"outperforms":[167],"several":[168],"baseline":[169],"Ablation":[171],"studies":[172],"further":[173],"demonstrate":[174],"effectiveness":[176],"our":[178],"fusion":[180],"approach":[181],"module.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
