{"id":"https://openalex.org/W2974568181","doi":"https://doi.org/10.1109/coase.2019.8843001","title":"An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting","display_name":"An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2974568181","doi":"https://doi.org/10.1109/coase.2019.8843001","mag":"2974568181"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2019.8843001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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/A5064385040","display_name":"Chuqiao Xu","orcid":"https://orcid.org/0000-0001-5611-2990"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuqiao Xu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352109","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0001-5129-5222"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["College of Mechanical Engineering, Donghua University, Shanghai, 201620, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Donghua University, Shanghai, 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026626611","display_name":"Junliang Wang","orcid":"https://orcid.org/0000-0003-0558-8598"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Wang","raw_affiliation_strings":["College of Mechanical Engineering, Donghua University, Shanghai, 201620, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Donghua University, Shanghai, 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436775","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-6215-0237"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["College of Mechanical Engineering, Donghua University, Shanghai, 201620, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Donghua University, Shanghai, 201620, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029534388","display_name":"Jin Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Cao","raw_affiliation_strings":["Shanghai Hitachi Electric Co. Ltd., Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Hitachi Electric Co. Ltd., Shanghai, 200240, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102727868","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0003-3499-4042"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["College of Mechanical Engineering, Donghua University, Shanghai, 201620, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Donghua University, Shanghai, 201620, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28 1","issue":null,"first_page":"622","last_page":"627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11529","display_name":"Refrigeration and Air Conditioning Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11529","display_name":"Refrigeration and Air Conditioning Technologies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10998","display_name":"Heat Transfer and Optimization","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10850","display_name":"Heat Transfer and Boiling Studies","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/gas-compressor","display_name":"Gas compressor","score":0.8007909059524536},{"id":"https://openalex.org/keywords/refrigeration","display_name":"Refrigeration","score":0.7291632294654846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291070580482483},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5763731598854065},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5254591703414917},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5110455751419067},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.456083744764328},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44712337851524353},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.41594427824020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41201046109199524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3197134733200073},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23625028133392334},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.22340714931488037},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14240336418151855},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.10221144556999207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09663009643554688}],"concepts":[{"id":"https://openalex.org/C131097465","wikidata":"https://www.wikidata.org/wiki/Q178898","display_name":"Gas compressor","level":2,"score":0.8007909059524536},{"id":"https://openalex.org/C69907114","wikidata":"https://www.wikidata.org/wiki/Q747713","display_name":"Refrigeration","level":2,"score":0.7291632294654846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291070580482483},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5763731598854065},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5254591703414917},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5110455751419067},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.456083744764328},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44712337851524353},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.41594427824020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41201046109199524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3197134733200073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23625028133392334},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.22340714931488037},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14240336418151855},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.10221144556999207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09663009643554688},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2019.8843001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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":17,"referenced_works":["https://openalex.org/W176909285","https://openalex.org/W1956938449","https://openalex.org/W1975237152","https://openalex.org/W1978424861","https://openalex.org/W2002282680","https://openalex.org/W2012507140","https://openalex.org/W2045249140","https://openalex.org/W2054266142","https://openalex.org/W2062329981","https://openalex.org/W2080658361","https://openalex.org/W2103550798","https://openalex.org/W2572653060","https://openalex.org/W2807992850","https://openalex.org/W2886548392","https://openalex.org/W2900225023","https://openalex.org/W2900895387","https://openalex.org/W6731962884"],"related_works":["https://openalex.org/W2071206697","https://openalex.org/W971438466","https://openalex.org/W2121173092","https://openalex.org/W2003597476","https://openalex.org/W2046719305","https://openalex.org/W4376620117","https://openalex.org/W3033604435","https://openalex.org/W1541218002","https://openalex.org/W4229377004","https://openalex.org/W4360985112"],"abstract_inverted_index":{"The":[0,50,152],"long":[1],"duration":[2],"of":[3,25,89,162],"refrigeration":[4,30],"compressor":[5,31,41,105],"performance":[6,42,62,106,145,161],"tests":[7,27],"is":[8,36,71],"a":[9,83,104,122,133,148],"key":[10],"factor":[11],"restricting":[12],"the":[13,18,23,29,40,74,90,128,139,159,171],"quality":[14,26],"testing":[15],"efficiency":[16],"and":[17,61,66,77,92,132,144],"delivery":[19],"times.":[20],"To":[21],"reduce":[22],"time":[24,79,173],"in":[28,46],"manufacturing":[32],"systems,":[33],"data-driven":[34],"technology":[35],"used":[37],"for":[38,73,86,96],"forecasting":[39,107],"using":[43,109],"unsteady-state":[44],"data":[45,157],"early":[47],"test":[48,78,172],"phase.":[49],"typical":[51],"methods":[52],"usually":[53],"encapsulate":[54],"two":[55],"distinct":[56],"blocks:":[57],"input":[58,68,130,141],"range":[59,131,142],"selection":[60,143],"prediction.":[63],"Such":[64],"fixed":[65],"hand-crafted":[67],"range,":[69],"which":[70,169],"crucial":[72],"prediction":[75,146],"accuracy":[76],"saving,":[80],"may":[81],"be":[82,175],"sub-optimal":[84],"choice":[85],"diverse":[87],"varieties":[88],"compressors":[91],"prevent":[93],"their":[94],"usage":[95],"real-time":[97],"applications.":[98],"In":[99],"this":[100],"paper,":[101],"we":[102],"proposed":[103,163],"approach":[108,164],"GA-KRR":[110],"(genetic":[111],"algorithm":[112],"-":[113],"kernel":[114],"ridge":[115],"regression":[116],"algorithm)":[117],"nested":[118,134],"learning":[119,135,150],"that":[120],"has":[121],"heuristic":[123],"design":[124,136],"to":[125,137],"automatically":[126],"hunt":[127],"best":[129],"fuse":[138],"automatic":[140],"into":[147],"single":[149],"body.":[151],"experimental":[153],"results":[154],"on":[155],"real-world":[156],"show":[158],"outstanding":[160],"compared":[165],"with":[166],"relative":[167],"approaches,":[168],"indicates":[170],"can":[174],"reduced":[176],"75%.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
