{"id":"https://openalex.org/W2989149388","doi":"https://doi.org/10.23919/iconac.2019.8895066","title":"Hybrid Load Identification Model Based on Grey Wolf Optimization Algorithm","display_name":"Hybrid Load Identification Model Based on Grey Wolf Optimization Algorithm","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989149388","doi":"https://doi.org/10.23919/iconac.2019.8895066","mag":"2989149388"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2019.8895066","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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/A5060140140","display_name":"LV Xinwei","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"LV Xinwei","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081951516","display_name":"Zhiren Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Zhiren","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136001","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0002-7404-2401"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Bo","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Hui","raw_affiliation_strings":["Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Rui","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Rui","raw_affiliation_strings":["Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055495152","display_name":"Haiping Wu","orcid":"https://orcid.org/0000-0002-0563-7380"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Haiping","raw_affiliation_strings":["Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic &#x0026; Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060140140"],"corresponding_institution_ids":["https://openalex.org/I198357462"],"apc_list":null,"apc_paid":null,"fwci":0.1445,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59919084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9991999864578247,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9962999820709229,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.916354775428772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.751160204410553},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6829102039337158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5999761819839478},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5947232246398926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5426010489463806},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4822838604450226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4787799119949341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40520691871643066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3961523473262787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3270784318447113},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1369464099407196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0866805911064148}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.916354775428772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751160204410553},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6829102039337158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999761819839478},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5947232246398926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5426010489463806},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4822838604450226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4787799119949341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40520691871643066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3961523473262787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3270784318447113},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1369464099407196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0866805911064148},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/iconac.2019.8895066","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1735866749","https://openalex.org/W2006478669","https://openalex.org/W2026131661","https://openalex.org/W2061438946","https://openalex.org/W2078367979","https://openalex.org/W2116444583","https://openalex.org/W2123070597","https://openalex.org/W2123910460","https://openalex.org/W2125993116","https://openalex.org/W2130378394","https://openalex.org/W2613770024","https://openalex.org/W2625447160","https://openalex.org/W3103730413"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Non-intrusive":[0],"load":[1,16],"monitoring":[2],"is":[3,85,108],"important":[4],"for":[5],"the":[6,15,29,33,38,47,50,56,67,71,95,101,105,114],"development":[7],"of":[8,22,58,70,104,113],"smart":[9],"grids.":[10],"In":[11,63],"order":[12,64],"to":[13,45,65],"get":[14],"status":[17],"and":[18,37,61],"power":[19],"consumption":[20],"information":[21],"each":[23],"device,":[24],"single":[25,51,72,115],"classifiers":[26,52],"such":[27],"as":[28],"support":[30],"vector":[31],"machines,":[32],"MLP":[34],"neural":[35],"networks":[36],"extreme":[39],"learning":[40],"machines":[41],"are":[42,53],"widely":[43],"used":[44],"identify":[46],"appliances.":[48],"But":[49],"faced":[54],"with":[55],"risk":[57],"local":[59],"optimum":[60],"overfitting.":[62],"improve":[66],"recognition":[68,102],"accuracy":[69,103],"classic":[73],"classifiers,":[74],"a":[75],"hybrid":[76],"identification":[77],"model":[78],"based":[79,93],"on":[80,94],"grey":[81],"wolf":[82],"optimization":[83],"algorithm":[84],"proposed":[86,106],"in":[87],"this":[88],"paper.":[89],"The":[90],"experimental":[91],"results":[92],"actual":[96],"measured":[97],"data":[98],"verified":[99],"that":[100,112],"method":[107],"significantly":[109],"higher":[110],"than":[111],"classical":[116],"classification":[117],"models.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
