{"id":"https://openalex.org/W2170598082","doi":"https://doi.org/10.1109/icsmc.2004.1400900","title":"ANN based Load Forecasting: A Parallel Structure","display_name":"ANN based Load Forecasting: A Parallel Structure","publication_year":2005,"publication_date":"2005-04-12","ids":{"openalex":"https://openalex.org/W2170598082","doi":"https://doi.org/10.1109/icsmc.2004.1400900","mag":"2170598082"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1400900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5102442639","display_name":"Chang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang Hu","raw_affiliation_strings":["Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101548471","display_name":"Li Cao","orcid":"https://orcid.org/0000-0003-2078-1097"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cao","raw_affiliation_strings":["Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102442639"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22181298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"1","issue":null,"first_page":"3594","last_page":"3598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.7658360004425049},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7284390330314636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691060066223145},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6204046607017517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4964907765388489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41776710748672485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16840514540672302}],"concepts":[{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.7658360004425049},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7284390330314636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691060066223145},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6204046607017517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4964907765388489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41776710748672485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16840514540672302},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1400900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1400900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1566073479","https://openalex.org/W1907231206","https://openalex.org/W1940138551","https://openalex.org/W2110242546","https://openalex.org/W2117825288","https://openalex.org/W2143908786"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Air-conditioning":[0],"system":[1],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6],"modern":[7],"architectures,":[8],"whereas":[9],"load":[10,33],"forecasting":[11,34],"provides":[12],"a":[13,26,43,66],"more":[14],"efficient":[15],"and":[16,53,59,85,103],"accurate":[17],"way":[18],"to":[19,64,73,79],"control":[20],"air-conditioning":[21],"systems.":[22],"In":[23,81,111],"this":[24],"article,":[25],"parallel":[27,93],"structure":[28,70],"called":[29],"2-ANN":[30,37,69,114],"for":[31],"air-conditioner":[32,109],"is":[35,71,101],"proposed.":[36],"combines":[38],"two":[39,120],"independent":[40],"predictors":[41,49,84,121],"by":[42,61,105],"corrector.":[44],"For":[45],"forecasting,":[46],"first":[47],"the":[48,62,83,119],"make":[50],"separate":[51],"predictions,":[52],"then":[54],"their":[55],"predictions":[56],"are":[57,87],"compared":[58],"revised":[60],"corrector":[63,86],"form":[65],"single":[67],"output.":[68],"easy":[72,78],"analysis":[74],"as":[75,77],"well":[76],"implement.":[80],"implementation,":[82],"back-propagation":[88],"(BP)":[89],"neural":[90],"networks.":[91],"The":[92],"structure,":[94],"set":[95],"up":[96],"with":[97],"three":[98],"BP":[99],"networks,":[100],"trained":[102],"tested":[104],"real-world":[106],"data":[107],"of":[108,118],"load.":[110],"those":[112],"tests,":[113],"outperforms":[115],"each":[116],"one":[117],"alone.":[122]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
