{"id":"https://openalex.org/W7131782755","doi":"https://doi.org/10.3390/bdcc10030068","title":"An Intelligent Simulation Training System for Power Grid Control and Operations","display_name":"An Intelligent Simulation Training System for Power Grid Control and Operations","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7131782755","doi":"https://doi.org/10.3390/bdcc10030068"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc10030068","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10030068","pdf_url":"https://www.mdpi.com/2504-2289/10/3/68/pdf?version=1772160314","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/10/3/68/pdf?version=1772160314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126965977","display_name":"Sheng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheng Yang","raw_affiliation_strings":["Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China","institution_ids":["https://openalex.org/I867306930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075388695","display_name":"Shengyuan Li","orcid":"https://orcid.org/0000-0003-1665-5434"},"institutions":[{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shengyuan Li","raw_affiliation_strings":["Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China","institution_ids":["https://openalex.org/I867306930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126952169","display_name":"Yuan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yuan Fu","raw_affiliation_strings":["Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electric Power Dispatching and Control Center, Guangxi Power Grid Co., Ltd., Nanning 530000, China","institution_ids":["https://openalex.org/I867306930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110001237","display_name":"Wei Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150595","display_name":"Guangzhou Electronic Technology (China)","ror":"https://ror.org/03rq35s79","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210150595"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Guangzhou Novasein Digital Technology Co., Ltd., Guangzhou 510700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Novasein Digital Technology Co., Ltd., Guangzhou 510700, China","institution_ids":["https://openalex.org/I4210150595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126969853","display_name":"Wenlong You","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong You","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126964454","display_name":"Min Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, China"],"raw_orcid":"https://orcid.org/0000-0002-0960-4447","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5126964454"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34640073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"68","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07329999655485153,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07329999655485153,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14276","display_name":"Power Systems and Technologies","score":0.06459999829530716,"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/T12810","display_name":"Real-time simulation and control systems","score":0.061900001019239426,"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/personalization","display_name":"Personalization","score":0.5663999915122986},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5461000204086304},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4512999951839447},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4510999917984009},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4018999934196472},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.38040000200271606},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3727000057697296},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.3490999937057495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5746999979019165},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5663999915122986},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5461000204086304},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4510999917984009},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3727000057697296},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C2776857766","wikidata":"https://www.wikidata.org/wiki/Q7832987","display_name":"Training system","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31610000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C3018222959","wikidata":"https://www.wikidata.org/wiki/Q7832986","display_name":"Simulation training","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2976999878883362},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.29350000619888306},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc10030068","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10030068","pdf_url":"https://www.mdpi.com/2504-2289/10/3/68/pdf?version=1772160314","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ba877675935474ebf7fb16acff6ab4b","is_oa":true,"landing_page_url":"https://doaj.org/article/7ba877675935474ebf7fb16acff6ab4b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 10, Iss 3, p 68 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc10030068","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10030068","pdf_url":"https://www.mdpi.com/2504-2289/10/3/68/pdf?version=1772160314","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6190798282623291,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7131782755.pdf","grobid_xml":"https://content.openalex.org/works/W7131782755.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1781579077","https://openalex.org/W2013150564","https://openalex.org/W2105906451","https://openalex.org/W2106126426","https://openalex.org/W2106424475","https://openalex.org/W2257979135","https://openalex.org/W2295939521","https://openalex.org/W2296283641","https://openalex.org/W2472922609","https://openalex.org/W2499696929","https://openalex.org/W2547809915","https://openalex.org/W2803746316","https://openalex.org/W2890071599","https://openalex.org/W2908241223","https://openalex.org/W2924855222","https://openalex.org/W2981863007","https://openalex.org/W2991019969","https://openalex.org/W3020785977","https://openalex.org/W3084021717","https://openalex.org/W3084223432","https://openalex.org/W3092848027","https://openalex.org/W3157202587","https://openalex.org/W3203701738","https://openalex.org/W4205497097","https://openalex.org/W4220842087","https://openalex.org/W4224589290","https://openalex.org/W4310656285","https://openalex.org/W4313894456","https://openalex.org/W4364376775","https://openalex.org/W4372319734","https://openalex.org/W4380884516","https://openalex.org/W4387600512","https://openalex.org/W4388853446","https://openalex.org/W4391387999","https://openalex.org/W4391621012","https://openalex.org/W4400999548","https://openalex.org/W4402215355","https://openalex.org/W4402943962","https://openalex.org/W4407432757","https://openalex.org/W4411600996"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,103,148],"increasing":[2,147],"complexity":[3],"of":[4,150],"power":[5],"grid":[6],"operations,":[7],"operator":[8],"training":[9,38,170],"requires":[10],"timely":[11],"feedback":[12,83],"and":[13,21,27,43,53,56,76,87,113,139,153,172],"objective":[14],"assessment.":[15],"Traditional":[16],"approaches":[17],"based":[18],"on":[19,116],"lectures":[20],"scripted":[22,123],"simulations":[23],"provide":[24],"limited":[25],"personalization":[26],"weak":[28],"explainability.":[29],"This":[30],"paper":[31],"presents":[32],"AI":[33,126],"Instructors,":[34],"an":[35],"intelligent":[36],"simulation":[37],"system":[39,46,104],"for":[40,84],"power-grid":[41],"control":[42],"dispatching.":[44],"The":[45],"is":[47,57,94],"organized":[48],"into":[49],"learning,":[50],"training,":[51],"assessment,":[52],"analysis":[54],"modules,":[55],"built":[58],"around":[59],"two":[60],"core":[61],"technical":[62],"components:":[63],"(i)":[64],"parameterized":[65,151],"item":[66],"generation":[67],"from":[68],"rule/knowledge":[69],"bases":[70],"using":[71],"a":[72,106,121,134],"phrase-enhanced":[73],"transformer":[74],"(PET),":[75],"(ii)":[77],"solver-grounded,":[78],"topology-aware":[79],"grading":[80],"with":[81,109,120,164],"hierarchical":[82],"both":[85],"numeric":[86],"free-text":[88],"responses.":[89],"A":[90],"voice":[91],"interaction":[92],"module":[93],"integrated":[95],"to":[96],"simulate":[97],"telephone-based":[98],"dispatch":[99,111],"orders.":[100],"We":[101],"validate":[102],"through":[105],"pilot":[107],"deployment":[108],"licensed":[110],"operators":[112],"scenario":[114],"experiments":[115],"benchmark":[117],"cases.":[118],"Compared":[119],"conventional":[122],"DTS":[124],"workflow,":[125],"Instructors":[127],"achieves":[128],"higher":[129],"stepwise":[130],"procedure":[131],"accuracy":[132],"(68%\u219290%),":[133],"lower":[135],"topology-violation":[136],"rate":[137],"(32%\u219211%),":[138],"shorter":[140],"response":[141],"time":[142],"(120":[143],"s\u219272":[144],"s),":[145],"while":[146],"proportion":[149],"questions":[152],"accelerating":[154],"skill":[155],"acquisition.":[156],"These":[157],"results":[158],"suggest":[159],"that":[160],"combining":[161],"adaptive":[162],"sequencing":[163],"topology-safe,":[165],"explainable":[166],"evaluation":[167],"can":[168],"improve":[169],"effectiveness":[171],"operational":[173],"safety.":[174]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2026-02-27T00:00:00"}
