{"id":"https://openalex.org/W4394958500","doi":"https://doi.org/10.1142/s0218001424590055","title":"Interpretable Long-Term Forecasting Based on Dynamic Attention in Smart City","display_name":"Interpretable Long-Term Forecasting Based on Dynamic Attention in Smart City","publication_year":2024,"publication_date":"2024-04-19","ids":{"openalex":"https://openalex.org/W4394958500","doi":"https://doi.org/10.1142/s0218001424590055"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001424590055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0218001424590055","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5102008515","display_name":"Changxia Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changxia Ma","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108107716","display_name":"Jun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xie","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102972283","display_name":"Lisha Yang","orcid":"https://orcid.org/0009-0003-7667-3754"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisha Yang","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714991","display_name":"Zhaoman Zhong","orcid":"https://orcid.org/0000-0003-0004-3193"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoman Zhong","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690697","display_name":"Xuefeng Zhao","orcid":"https://orcid.org/0009-0004-0628-4320"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Zhao","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101547513","display_name":"HU Wen-bin","orcid":"https://orcid.org/0009-0004-4788-9975"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Hu","raw_affiliation_strings":["School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Jiangsu Ocean University, Jiangsu, Lianyungang 222000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102008515"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04977015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9976000189781189,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972375154495239},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7645316123962402},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6282904744148254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110835075378418},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5785602331161499},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5654618144035339},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5515225529670715},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5252661108970642},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.511099636554718},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5053003430366516},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46540409326553345},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44390973448753357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4418385922908783},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44006386399269104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36231499910354614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33796215057373047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972375154495239},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7645316123962402},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6282904744148254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110835075378418},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5785602331161499},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5654618144035339},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5515225529670715},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5252661108970642},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.511099636554718},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5053003430366516},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46540409326553345},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44390973448753357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4418385922908783},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44006386399269104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36231499910354614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33796215057373047},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001424590055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0218001424590055","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2095654324","https://openalex.org/W2604847698","https://openalex.org/W2766673981","https://openalex.org/W2808535700","https://openalex.org/W2890096158","https://openalex.org/W2896827527","https://openalex.org/W2904707438","https://openalex.org/W2943279890","https://openalex.org/W2980994438","https://openalex.org/W2986815055","https://openalex.org/W2988226917","https://openalex.org/W3000499162","https://openalex.org/W3088296722","https://openalex.org/W3125658501","https://openalex.org/W3167936924","https://openalex.org/W3171884590","https://openalex.org/W3176061695","https://openalex.org/W3177318507","https://openalex.org/W3198281649","https://openalex.org/W4223514112","https://openalex.org/W4225414442","https://openalex.org/W4283460398","https://openalex.org/W4292133277","https://openalex.org/W4318148243","https://openalex.org/W4320801978","https://openalex.org/W4383616759","https://openalex.org/W4387810249"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W3008584592","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,133],"is":[2,107],"of":[3,9,28,83,114,139],"great":[4],"significance":[5],"to":[6,58,94,109,142],"the":[7,20,26,29,72,80,84,112,129,137],"construction":[8],"a":[10,38,96,143],"smart":[11],"city.":[12],"However,":[13],"current":[14],"models":[15],"only":[16],"focus":[17],"on":[18,32,45],"mining":[19],"relationship":[21],"among":[22],"sequences":[23,31],"and":[24,52,88],"ignore":[25],"influence":[27],"predicted":[30,66],"future":[33],"predictions,":[34],"so":[35],"we":[36],"propose":[37],"Dynamic":[39],"Attention":[40],"Neural":[41],"Network":[42],"(DANN)":[43],"based":[44],"encoder-decoder,":[46],"which":[47,135],"combines":[48],"encoder":[49,87],"context":[50,56],"vectors":[51,57],"newly":[53],"generated":[54],"decoder":[55],"jointly":[59],"dynamically":[60],"representation":[61,99],"learning,":[62],"then":[63],"generates":[64],"corresponding":[65],"values.":[67],"DANN":[68,127],"processes":[69],"data":[70],"via":[71],"Bi-directional":[73],"Long":[74],"Short-Term":[75],"Memory":[76],"(Bi-LSTM)":[77],"network":[78,85,105],"as":[79],"fundamental":[81],"structure":[82],"between":[86],"decoder.":[89],"What\u2019s":[90],"more,":[91],"in":[92],"order":[93],"produce":[95],"new":[97],"feature":[98,116],"with":[100,124],"low":[101],"redundancy,":[102],"gate":[103],"mechanism":[104],"module":[106],"used":[108],"adaptively":[110],"learn":[111],"interdependence":[113],"multivariate":[115],"data.":[117],"The":[118],"relevant":[119],"experiments":[120],"show":[121],"that":[122],"compared":[123],"baseline":[125],"models,":[126],"has":[128],"most":[130],"stable":[131],"long-term":[132],"performance,":[134],"reduces":[136],"problem":[138],"error":[140],"accumulation":[141],"certain":[144],"degree.":[145]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}