{"id":"https://openalex.org/W4312806485","doi":"https://doi.org/10.1145/3569966.3570095","title":"Load prediction model based on LSTM and attention mechanism","display_name":"Load prediction model based on LSTM and attention mechanism","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4312806485","doi":"https://doi.org/10.1145/3569966.3570095"},"language":"en","primary_location":{"id":"doi:10.1145/3569966.3570095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3569966.3570095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","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/A5017659457","display_name":"Xuan Zhou","orcid":"https://orcid.org/0000-0001-9859-9864"},"institutions":[{"id":"https://openalex.org/I4403386539","display_name":"Software Engineering Institute of Guangzhou","ror":"https://ror.org/0549ke970","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Zhou","raw_affiliation_strings":["SOFTWARE ENGINEERING INSTITUTE OF GUANGZHOU, China"],"raw_orcid":"https://orcid.org/0000-0001-9859-9864","affiliations":[{"raw_affiliation_string":"SOFTWARE ENGINEERING INSTITUTE OF GUANGZHOU, China","institution_ids":["https://openalex.org/I4403386539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048162866","display_name":"Xing Wu","orcid":"https://orcid.org/0000-0002-9500-6944"},"institutions":[{"id":"https://openalex.org/I4403386539","display_name":"Software Engineering Institute of Guangzhou","ror":"https://ror.org/0549ke970","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":["SOFTWARE ENGINEERING INSTITUTE OF GUANGZHOU, China"],"raw_orcid":"https://orcid.org/0000-0002-9500-6944","affiliations":[{"raw_affiliation_string":"SOFTWARE ENGINEERING INSTITUTE OF GUANGZHOU, China","institution_ids":["https://openalex.org/I4403386539"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4403386539"],"apc_list":null,"apc_paid":null,"fwci":0.5205,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63465605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9760000109672546,"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":0.9760000109672546,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.954200029373169,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8091330528259277},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.681483805179596},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5943896174430847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5229880809783936},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5154474377632141},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5013759136199951},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48363959789276123},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46704477071762085},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46423855423927307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40128105878829956},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.37154561281204224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08677124977111816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091330528259277},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.681483805179596},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5943896174430847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5229880809783936},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5154474377632141},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5013759136199951},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48363959789276123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46704477071762085},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46423855423927307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40128105878829956},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.37154561281204224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08677124977111816},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3569966.3570095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3569966.3570095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1536929369","https://openalex.org/W1847618513","https://openalex.org/W1984255960","https://openalex.org/W4240420865"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W4313123484","https://openalex.org/W4386362517","https://openalex.org/W2146461990","https://openalex.org/W4200142652"],"abstract_inverted_index":{"load":[0,35,47,70,79,86,93,166],"forecasting":[1],"is":[2,36,48,133],"an":[3],"important":[4],"research":[5],"direction,":[6],"which":[7],"has":[8],"always":[9],"been":[10],"the":[11,28,31,43,68,73,82,120,137,140],"concern":[12],"of":[13,27,33,46,76,149],"academia":[14],"and":[15,63,99,103,114,139],"industry.":[16],"Accurate":[17],"prediction":[18,53,94,162],"results":[19],"can":[20],"provide":[21],"effective":[22],"decisions":[23],"for":[24],"resource":[25],"allocation":[26],"system.":[29],"However,":[30],"change":[32,44],"application":[34],"very":[37],"complex.":[38],"How":[39],"to":[40,118,135],"accurately":[41],"predict":[42,67,136],"trend":[45],"a":[49,77,92],"challenging":[50],"task.":[51],"Traditional":[52],"algorithms":[54,163],"such":[55],"as":[56],"Arima":[57],"algorithm":[58,66],"based":[59,96],"on":[60,97,164],"statistical":[61],"theory":[62],"neural":[64,112],"network":[65,102,113,129],"target":[69],"only":[71],"through":[72],"historical":[74],"sequence":[75],"single":[78],"index,":[80],"ignoring":[81],"interaction":[83],"between":[84,124],"different":[85,143,147],"indexes.":[87],"Therefore,":[88],"this":[89,155],"paper":[90,156],"proposes":[91],"model":[95,108,152],"long-term":[98],"short-term":[100],"memory":[101],"attention":[104,116,131],"mechanism":[105,117,132],"lstmda.":[106],"The":[107,126,151],"successively":[109],"uses":[110],"convolutional":[111],"channel":[115],"extract":[119],"local":[121],"dependence":[122],"characteristics":[123],"loads.":[125],"bidirectional":[127],"LSTM":[128],"with":[130],"used":[134],"load,":[138],"data":[141,167],"at":[142],"times":[144],"are":[145],"given":[146],"degrees":[148],"importance.":[150],"proposed":[153],"in":[154],"achieves":[157],"better":[158],"performance":[159],"than":[160],"existing":[161],"real":[165],"sets.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
