{"id":"https://openalex.org/W4415821055","doi":"https://doi.org/10.1109/tii.2025.3620204","title":"TD3MPC-Based Scheduling for Integrated Energy System Under Source\u2013Load\u2013Price Uncertainties","display_name":"TD3MPC-Based Scheduling for Integrated Energy System Under Source\u2013Load\u2013Price Uncertainties","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4415821055","doi":"https://doi.org/10.1109/tii.2025.3620204"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3620204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3620204","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/A5063903054","display_name":"Yuchen Mu","orcid":"https://orcid.org/0000-0003-1810-1646"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Mu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343475","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-1318-3630"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035491991","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0003-0877-3887"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641479","display_name":"Chenghui Zhang","orcid":"https://orcid.org/0000-0003-2317-5930"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghui Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063903054"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31193221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"1004","last_page":"1015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9603000283241272,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9603000283241272,"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/T10603","display_name":"Smart Grid Energy Management","score":0.007000000216066837,"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/T10424","display_name":"Electric Power System Optimization","score":0.006899999920278788,"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/robustness","display_name":"Robustness (evolution)","score":0.7046999931335449},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.644599974155426},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6230000257492065},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5303000211715698},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5241000056266785},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.48989999294281006},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.39149999618530273},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.3732999861240387},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.3684000074863434}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7046999931335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966999769210815},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.644599974155426},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6230000257492065},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5303000211715698},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.48989999294281006},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.39149999618530273},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35920000076293945},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.35910001397132874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C104060986","wikidata":"https://www.wikidata.org/wiki/Q180046","display_name":"Space exploration","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.299699991941452},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C116219307","wikidata":"https://www.wikidata.org/wiki/Q7236625","display_name":"Power system simulation","level":4,"score":0.288100004196167},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.2660999894142151},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3620204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3620204","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":[],"awards":[{"id":"https://openalex.org/G1122842682","display_name":null,"funder_award_id":"U23A20333","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":37,"referenced_works":["https://openalex.org/W1552654126","https://openalex.org/W1967821692","https://openalex.org/W2612033239","https://openalex.org/W2765650568","https://openalex.org/W2783999235","https://openalex.org/W2802324050","https://openalex.org/W2822752092","https://openalex.org/W2930426397","https://openalex.org/W2948652605","https://openalex.org/W2972312454","https://openalex.org/W2994569288","https://openalex.org/W3005637364","https://openalex.org/W3089418186","https://openalex.org/W3097281440","https://openalex.org/W3136706735","https://openalex.org/W3153514081","https://openalex.org/W3158744177","https://openalex.org/W3182738738","https://openalex.org/W4205140216","https://openalex.org/W4220852592","https://openalex.org/W4297964528","https://openalex.org/W4306782515","https://openalex.org/W4367043052","https://openalex.org/W4380785622","https://openalex.org/W4384521508","https://openalex.org/W4385656563","https://openalex.org/W4386351122","https://openalex.org/W4390492434","https://openalex.org/W4391305761","https://openalex.org/W4392207812","https://openalex.org/W4393241286","https://openalex.org/W4396241247","https://openalex.org/W4396753580","https://openalex.org/W4396852846","https://openalex.org/W4396877755","https://openalex.org/W4404845556","https://openalex.org/W4413125356"],"related_works":[],"abstract_inverted_index":{"Efficient":[0],"operation":[1],"of":[2,61,122],"integrated":[3],"energy":[4,166],"system":[5],"(IES)":[6],"is":[7,53,79,132,139],"hampered":[8],"by":[9],"multicoupled":[10],"uncertainties":[11],"across":[12],"the":[13,54,58,66,86,118,123,135,172],"source-load-price.":[14],"Existing":[15],"studies":[16],"often":[17],"model":[18,110],"isolated":[19],"or":[20],"partial":[21],"uncertainties,":[22],"lacking":[23],"full-dimensional,":[24],"systematic":[25],"characterization.":[26],"Model":[27],"predictive":[28],"control":[29],"(MPC)":[30],"and":[31,40,63,69,112,120,148,178],"deep":[32,47,89],"reinforcement":[33],"learning":[34,119],"(DRL)":[35],"exhibit":[36],"significant":[37],"complementary":[38],"potential,":[39],"their":[41],"combination":[42],"holds":[43],"promise":[44],"for":[45,109,164],"revealing":[46],"interconnections":[48],"among":[49],"multiuncertainties.":[50],"This":[51],"article":[52],"first":[55],"to":[56,107,141,159],"explore":[57],"collaborative":[59],"application":[60],"MPC":[62,78],"DRL":[64],"in":[65],"IES":[67],"field":[68],"proposes":[70],"a":[71,126],"novel":[72],"TD3MPC":[73],"framework.":[74],"In":[75],"this":[76,105],"framework,":[77],"embedded":[80],"as":[81],"an":[82,142],"expert":[83],"actor":[84],"within":[85],"twin":[87],"delayed":[88],"deterministic":[90],"policy":[91],"gradient":[92],"(TD3),":[93],"providing":[94],"safe,":[95],"physics-compliant":[96],"baseline":[97,106],"actions.":[98],"TD3":[99],"then":[100],"employs":[101],"data-driven":[102],"exploration":[103,121],"around":[104],"compensate":[108],"mismatch":[111],"improve":[113],"multiuncertainty":[114,183],"responsiveness.":[115],"To":[116],"balance":[117],"intelligent":[124],"agent,":[125],"hybrid":[127],"prioritized":[128],"experience":[129],"replay":[130],"mechanism":[131],"designed.":[133],"Additionally,":[134],"conventional":[136],"single-timestep":[137],"state":[138,144,152],"extended":[140],"augmented":[143],"space":[145],"incorporating":[146],"historical":[147],"future":[149],"information,":[150],"with":[151],"transitions":[153],"modeled":[154],"via":[155],"probabilistic":[156],"scenario":[157],"techniques":[158],"reinforce":[160],"TD3\u2019s":[161],"generalization":[162],"ability":[163],"complex":[165],"problems.":[167],"Simulation":[168],"results":[169],"demonstrate":[170],"that":[171],"proposed":[173],"strategy":[174],"exhibits":[175],"strong":[176],"robustness":[177],"reduces":[179],"economic":[180],"costs":[181],"under":[182],"environments.":[184]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-03T00:00:00"}