{"id":"https://openalex.org/W4229069312","doi":"https://doi.org/10.1142/s0218001422510090","title":"Evaluation Model of Urban Smart Energy System Based on Improved Genetic Algorithm-Bp Neural Network","display_name":"Evaluation Model of Urban Smart Energy System Based on Improved Genetic Algorithm-Bp Neural Network","publication_year":2022,"publication_date":"2022-05-05","ids":{"openalex":"https://openalex.org/W4229069312","doi":"https://doi.org/10.1142/s0218001422510090"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422510090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422510090","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/A5085363238","display_name":"Guobao Zhang","orcid":"https://orcid.org/0000-0003-1981-2044"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guobao Zhang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006455158","display_name":"Yun\u2010Hu Wang","orcid":"https://orcid.org/0000-0003-2703-7885"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhu Wang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017252332","display_name":"Qing Duan","orcid":"https://orcid.org/0000-0003-4467-7024"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Duan","raw_affiliation_strings":["China Electric Power Research Institute Co., Ltd., Beijing 100192, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute Co., Ltd., Beijing 100192, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4392738113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101489075","display_name":"Yongming Huang","orcid":"https://orcid.org/0000-0001-8376-3502"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Huang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016489839","display_name":"Chunyan Ma","orcid":"https://orcid.org/0000-0002-0453-0450"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Ma","raw_affiliation_strings":["China Electric Power Research Institute Co., Ltd., Beijing 100192, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute Co., Ltd., Beijing 100192, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4392738113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041780070","display_name":"Ruobing Xu","orcid":"https://orcid.org/0000-0001-8510-6135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruobing Xu","raw_affiliation_strings":["Nanjing Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, Jiangsu Province, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Nanjing Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, Jiangsu Province, P.\u00a0R.\u00a0China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109052295","display_name":"Lin Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chai","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, Jiangsu Province, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5085363238"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.732,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68061663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"09","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9840999841690063,"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":0.9840999841690063,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.949400007724762,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9284999966621399,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7577931880950928},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.7472680807113647},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.7393984794616699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238094210624695},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.579200267791748},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5586310625076294},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5153650641441345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077074766159058},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.501953125},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49651795625686646},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49204108119010925},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4289695620536804},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4252821207046509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4221879839897156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11279082298278809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10615643858909607},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.08116543292999268},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07137131690979004}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7577931880950928},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.7472680807113647},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7393984794616699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238094210624695},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.579200267791748},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5586310625076294},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5153650641441345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077074766159058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.501953125},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49651795625686646},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49204108119010925},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4289695620536804},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4252821207046509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4221879839897156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11279082298278809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10615643858909607},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.08116543292999268},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07137131690979004},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422510090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422510090","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":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4795806691","display_name":null,"funder_award_id":"5442SH190006","funder_id":"https://openalex.org/F4320326707","funder_display_name":"State Grid Corporation of China"}],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2615133797","https://openalex.org/W2797995801","https://openalex.org/W2922659044","https://openalex.org/W2955169987","https://openalex.org/W2964268978","https://openalex.org/W2999487315","https://openalex.org/W3006647412","https://openalex.org/W3040160775","https://openalex.org/W3045857513","https://openalex.org/W3118876146","https://openalex.org/W3132959010","https://openalex.org/W3156483215"],"related_works":["https://openalex.org/W1500372396","https://openalex.org/W4200544071","https://openalex.org/W2391384657","https://openalex.org/W4213117502","https://openalex.org/W3198215288","https://openalex.org/W2242027171","https://openalex.org/W2383742469","https://openalex.org/W2354205711","https://openalex.org/W2392110728","https://openalex.org/W1543345676"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2],"problems":[3],"such":[4],"as":[5],"strong":[6],"subjectivity,":[7],"complex":[8],"calculations,":[9],"and":[10,75,112,144],"lack":[11],"of":[12,16,26,48,53,94,109,114],"intelligence":[13],"in":[14,133],"most":[15],"the":[17,50,54,86,91,98,105,110,115,131,141,152],"current":[18],"energy":[19,33,59,155],"system":[20,29,57,60],"evaluation":[21,28,56,146],"models,":[22],"so":[23],"a":[24],"design":[25],"an":[27,37],"for":[30,58,122],"urban":[31,153],"smart":[32,154],"systems":[34],"based":[35],"on":[36],"improved":[38],"genetic":[39,99],"algorithm-back":[40],"propagation":[41],"(BP)":[42],"neural":[43,117],"network":[44,118],"is":[45],"proposed.":[46],"First":[47],"all,":[49],"hierarchical":[51],"structure":[52,119],"indicator":[55],"was":[61,67,82,101],"established,":[62],"analytic":[63],"hierarchy":[64],"process":[65],"(AHP)":[66],"used":[68,83,102],"to":[69,72,84,103],"assign":[70],"weights":[71,111],"each":[73],"indicator,":[74],"data":[76,87,95],"samples":[77],"were":[78],"classified.":[79],"Then,":[80],"SeqGAN":[81],"expand":[85],"set,":[88],"which":[89],"solved":[90],"difficult":[92],"problem":[93],"acquisition.":[96],"Finally,":[97],"algorithm":[100],"determine":[104],"best":[106],"initial":[107],"values":[108],"thresholds":[113],"BP":[116],"parameters":[120],"designed":[121],"this":[123,134],"research.":[124],"The":[125],"simulation":[126],"experiment":[127],"results":[128],"showed":[129],"that":[130],"method":[132],"paper":[135],"has":[136],"higher":[137],"classification":[138],"accuracy":[139],"than":[140],"traditional":[142],"method,":[143],"comprehensive":[145],"model":[147],"proposed":[148],"can":[149],"effectively":[150],"evaluate":[151],"system.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}