{"id":"https://openalex.org/W4413472467","doi":"https://doi.org/10.1109/tii.2025.3593846","title":"An Event-Driven Neural Kalman Model for State Representation and Learning-Based Dynamic Scheduling of Industrial Energy System","display_name":"An Event-Driven Neural Kalman Model for State Representation and Learning-Based Dynamic Scheduling of Industrial Energy System","publication_year":2025,"publication_date":"2025-08-23","ids":{"openalex":"https://openalex.org/W4413472467","doi":"https://doi.org/10.1109/tii.2025.3593846"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3593846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3593846","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5100417424","display_name":"Tianyu Wang","orcid":"https://orcid.org/0000-0002-5596-2923"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Wang","raw_affiliation_strings":["School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5596-2923","affiliations":[{"raw_affiliation_string":"School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703932","display_name":"Qiuyan Zhang","orcid":"https://orcid.org/0000-0002-4760-9222"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyan Zhang","raw_affiliation_strings":["School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358009","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-3573-152X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3573-152X","affiliations":[{"raw_affiliation_string":"School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061884304","display_name":"Henry Leung","orcid":"https://orcid.org/0000-0002-5984-107X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Henry Leung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5984-107X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391742","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-7608-7438"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7608-7438","affiliations":[{"raw_affiliation_string":"School of Control Sciences and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69787395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"21","issue":"11","first_page":"8925","last_page":"8936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.6388999819755554,"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/T10603","display_name":"Smart Grid Energy Management","score":0.6388999819755554,"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":0.6370000243186951,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.6158999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.753156304359436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6796188354492188},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5518636107444763},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4261070489883423},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4181016683578491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4086553454399109},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3758928179740906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3511676788330078},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32923078536987305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21270054578781128}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.753156304359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796188354492188},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5518636107444763},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4261070489883423},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4181016683578491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4086553454399109},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3758928179740906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3511676788330078},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32923078536987305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21270054578781128},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3593846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3593846","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G2143033155","display_name":null,"funder_award_id":"62203087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3316198426","display_name":null,"funder_award_id":"62394342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3512189188","display_name":null,"funder_award_id":"62125302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G91982172","display_name":null,"funder_award_id":"62394344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1630598973","https://openalex.org/W2741800562","https://openalex.org/W2766152931","https://openalex.org/W2919115771","https://openalex.org/W2934023751","https://openalex.org/W2936021295","https://openalex.org/W2945589931","https://openalex.org/W3004881034","https://openalex.org/W3006765757","https://openalex.org/W3037952385","https://openalex.org/W3040737025","https://openalex.org/W3046111970","https://openalex.org/W3090516321","https://openalex.org/W3100366369","https://openalex.org/W3124201714","https://openalex.org/W3132393199","https://openalex.org/W3137846090","https://openalex.org/W3155377928","https://openalex.org/W3157235689","https://openalex.org/W3162138249","https://openalex.org/W3193977437","https://openalex.org/W3200702630","https://openalex.org/W3211551833","https://openalex.org/W4210268816","https://openalex.org/W4210505448","https://openalex.org/W4285308358","https://openalex.org/W4319303160","https://openalex.org/W4385470763","https://openalex.org/W4386275553","https://openalex.org/W4386412292","https://openalex.org/W4388543828","https://openalex.org/W4392659008"],"related_works":["https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W3191856393","https://openalex.org/W2349716249","https://openalex.org/W2062195135","https://openalex.org/W1463864201","https://openalex.org/W2120941928","https://openalex.org/W4206770590","https://openalex.org/W2581000916","https://openalex.org/W2745986669"],"abstract_inverted_index":{"Operation":[0],"optimization":[1,18,41,99],"of":[2,32,57,148,156,185,191],"industrial":[3,198],"energy":[4,10,33],"systems":[5],"(IES)":[6],"can":[7],"effectively":[8],"improve":[9],"utilization":[11],"efficiency":[12],"and":[13,59,76,116,173,195],"reduce":[14],"carbon":[15],"emissions.":[16],"Learning-based":[17],"models":[19],"such":[20],"as":[21],"reinforcement":[22],"learning":[23,79,127],"(RL)":[24],"have":[25],"been":[26],"widely":[27],"applied":[28],"in":[29,62,83,121,189],"dynamic":[30],"scheduling":[31,110,192],"systems.":[34],"However,":[35],"they":[36],"are":[37,119,167,176],"usually":[38],"time-driven":[39,109],"periodic":[40],"that":[42],"require":[43],"the":[44,54,60,113,154,157,183,186],"state":[45,63,74,89,103,138],"variables":[46],"having":[47],"obvious":[48],"time":[49,92],"distribution":[50,64,93],"rules,":[51],"without":[52],"considering":[53],"event-triggered":[55],"characteristics":[56],"IES,":[58],"uncertainty":[61],"caused":[65],"by":[66],"production-energy":[67],"coupling.":[68],"Thus,":[69],"an":[70,95,125,133],"event-driven":[71,134],"neural":[72,101],"Kalman":[73,102,114],"representation":[75,104],"dual-scale":[77,150],"strategy":[78],"framework":[80],"is":[81,105,143],"proposed":[82,144,158,187],"this":[84],"study.":[85],"To":[86,152],"implement":[87],"latent":[88],"construction":[90],"with":[91,100],"characteristics,":[94],"improved":[96],"proximal":[97],"policy":[98,135],"developed":[106],"to":[107,123,131,197],"formulate":[108],"policies,":[111],"where":[112],"filter":[115],"RL":[117],"parameters":[118],"trained":[120],"cascade":[122],"achieve":[124],"end-to-end":[126],"process.":[128],"In":[129],"order":[130],"realize":[132],"learning,":[136],"a":[137,163],"transition":[139],"matrix":[140],"connecting":[141],"approach":[142,188],"for":[145,169,178],"collaborative":[146],"calculation":[147],"time-event":[149],"policies.":[151],"verify":[153],"effectiveness":[155],"method,":[159],"real":[160],"data":[161],"from":[162],"domestic":[164],"steel":[165],"company":[166],"employed":[168],"experiments.":[170],"Commonly":[171],"used":[172],"state-of-the-art":[174],"approaches":[175],"selected":[177],"comparisons.":[179],"The":[180],"results":[181],"validate":[182],"advantages":[184],"terms":[190],"frequency,":[193],"cost-effectiveness,":[194],"adaptation":[196],"uncertain":[199],"environments.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}