{"id":"https://openalex.org/W2783793117","doi":"https://doi.org/10.1109/coase.2017.8256263","title":"An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions","display_name":"An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2783793117","doi":"https://doi.org/10.1109/coase.2017.8256263","mag":"2783793117"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2017.8256263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","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/A5020895997","display_name":"X. Lai","orcid":"https://orcid.org/0000-0002-6680-3354"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xingjian Lai","raw_affiliation_strings":["Manufacturing Research Center (WuMRC), University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Manufacturing Research Center (WuMRC), University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050575763","display_name":"Xiaoning Jin","orcid":"https://orcid.org/0000-0001-9353-8456"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoning Jin","raw_affiliation_strings":["Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100842221","display_name":"Xi Gu","orcid":"https://orcid.org/0009-0006-1705-1009"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Gu","raw_affiliation_strings":["Manufacturing Research Center (WuMRC), University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Manufacturing Research Center (WuMRC), University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020895997"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.1755,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.598737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1180","last_page":"1185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10876","display_name":"Fault Detection and Control Systems","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9818999767303467,"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/energy-consumption","display_name":"Energy consumption","score":0.7606560587882996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5812970399856567},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5403537750244141},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5087209343910217},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.47734954953193665},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.46695977449417114},{"id":"https://openalex.org/keywords/propulsion","display_name":"Propulsion","score":0.4523405432701111},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4521600604057312},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4012061357498169},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36880767345428467},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3505299389362335},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.290253221988678}],"concepts":[{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7606560587882996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812970399856567},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5403537750244141},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5087209343910217},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.47734954953193665},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.46695977449417114},{"id":"https://openalex.org/C1034443","wikidata":"https://www.wikidata.org/wiki/Q2583685","display_name":"Propulsion","level":2,"score":0.4523405432701111},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4521600604057312},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4012061357498169},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36880767345428467},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3505299389362335},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.290253221988678},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2017.8256263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2017.8256263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W197549804","https://openalex.org/W1541681658","https://openalex.org/W1825077972","https://openalex.org/W1984703120","https://openalex.org/W1997055709","https://openalex.org/W2003060455","https://openalex.org/W2043059407","https://openalex.org/W2063143152","https://openalex.org/W2066776366","https://openalex.org/W2073594103","https://openalex.org/W2086658478","https://openalex.org/W2140123645","https://openalex.org/W2182325655","https://openalex.org/W2329018767","https://openalex.org/W2332630645","https://openalex.org/W6685660690"],"related_works":["https://openalex.org/W2378383478","https://openalex.org/W2724311592","https://openalex.org/W2736986302","https://openalex.org/W2914953897","https://openalex.org/W2743782314","https://openalex.org/W2040174473","https://openalex.org/W3136375451","https://openalex.org/W179829755","https://openalex.org/W235371122","https://openalex.org/W4214747436"],"abstract_inverted_index":{"The":[0,45],"efficiency":[1,39,88],"of":[2,5,52,61,78,82,92,122,161,166,173,200],"energy":[3,32,69,87,151,167],"consumption":[4,33,38,70,152,226],"an":[6],"engineering":[7],"system":[8,102,114,191,201,223],"dynamically":[9],"changes":[10],"during":[11,128],"the":[12,16,31,37,50,58,68,76,83,93,113,118,163,171,175,183,189,198,205,217],"its":[13],"operation":[14,90,130],"when":[15,188],"operational":[17,62],"and":[18,35,54,63,89,104,120,144,148,155,178,197,240],"environmental":[19,64,206],"conditions":[20],"vary":[21,126],"in":[22,101,107,159],"time.":[23],"Various":[24],"methods":[25],"have":[26],"been":[27],"developed":[28],"to":[29,48],"monitor":[30],"rate":[34,71],"predict":[36],"for":[40,224],"a":[41,79,98,123,135,140,220],"given":[42],"operating":[43,156,207,237],"condition.":[44],"main":[46],"challenges":[47],"maintain":[49],"accuracy":[51,165,232],"modeling":[53,103],"prediction":[55,164,231],"stem":[56],"from":[57],"great":[59],"diversity":[60],"inputs":[65],"that":[66,138],"affect":[67],"dynamically,":[72],"as":[73,75],"well":[74],"lack":[77],"full":[80],"understanding":[81],"physical":[84],"relationship":[85],"between":[86],"parameters":[91],"system.":[94],"Operating":[95],"condition":[96,157,238],"is":[97,186,193,202],"key":[99],"component":[100],"state":[105],"identification":[106],"many":[108],"applications":[109],"because":[110],"not":[111,194],"only":[112],"parameters,":[115],"but":[116],"also":[117],"structure":[119],"complexity":[121],"model":[124,143,218],"might":[125],"significantly":[127],"different":[129],"modes.":[131],"This":[132],"paper":[133],"investigates":[134],"novel":[136],"method":[137,185],"integrates":[139],"physics-based":[141,176],"hydrodynamic":[142],"dynamic":[145],"parameter":[146,180],"learning":[147,181],"estimation,":[149],"using":[150],"monitoring":[153,211],"data":[154,212],"data,":[158],"purpose":[160],"improving":[162],"consumption.":[168],"By":[169],"leveraging":[170],"strengths":[172],"both":[174],"models":[177,235],"data-driven":[179],"methods,":[182],"proposed":[184],"advantageous":[187],"complex":[190],"physics":[192],"perfectly":[195],"known":[196],"performance":[199],"affected":[203],"by":[204],"condition,":[208],"while":[209],"abundant":[210],"are":[213],"available.":[214],"We":[215],"demonstrate":[216],"on":[219],"ship":[221],"propulsion":[222],"fuel":[225],"prediction,":[227],"which":[228],"achieves":[229],"higher":[230],"compared":[233],"with":[234],"without":[236],"adaption":[239],"tuning.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}