{"id":"https://openalex.org/W4414530131","doi":"https://doi.org/10.1186/s42162-025-00569-7","title":"Analysis of the monitoring and identification effect of system cognitive service technology on DC system in power grid","display_name":"Analysis of the monitoring and identification effect of system cognitive service technology on DC system in power grid","publication_year":2025,"publication_date":"2025-09-25","ids":{"openalex":"https://openalex.org/W4414530131","doi":"https://doi.org/10.1186/s42162-025-00569-7"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-025-00569-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00569-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00569-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00569-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101706464","display_name":"Xiaogang Wu","orcid":"https://orcid.org/0000-0003-3635-9587"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaogang Wu","raw_affiliation_strings":["China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018898431","display_name":"Xingwang Chen","orcid":"https://orcid.org/0000-0002-0769-6202"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Chen","raw_affiliation_strings":["China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101783281","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0003-0799-7192"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Power Dispatching Control Center, Guangzhou, 510000, Guangdong, China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101706464"],"corresponding_institution_ids":["https://openalex.org/I74872605"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26650496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9968000054359436,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9968000054359436,"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14502","display_name":"High-Voltage Power Transmission Systems","score":0.9884999990463257,"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/categorical-variable","display_name":"Categorical variable","score":0.6158000230789185},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49570000171661377},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4927999973297119},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.46560001373291016},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.45489999651908875},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42660000920295715},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4212000072002411},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.3776000142097473},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3693000078201294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442000269889832},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4927999973297119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48660001158714294},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.46560001373291016},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.42340001463890076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4228000044822693},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3637999892234802},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.3504999876022339},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2653000056743622},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-025-00569-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00569-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00569-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:675f298a77a64b4385a8d38d850b9198","is_oa":true,"landing_page_url":"https://doaj.org/article/675f298a77a64b4385a8d38d850b9198","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 8, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-025-00569-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-025-00569-7","pdf_url":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00569-7","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4414530131.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2899603642","https://openalex.org/W3046758830","https://openalex.org/W3087823052","https://openalex.org/W3171413512","https://openalex.org/W4224131903","https://openalex.org/W4226372911","https://openalex.org/W4284892974","https://openalex.org/W4295129790","https://openalex.org/W4318305211","https://openalex.org/W4322772385","https://openalex.org/W4362638871","https://openalex.org/W4381302760","https://openalex.org/W4384829516","https://openalex.org/W4390357426","https://openalex.org/W4391098453","https://openalex.org/W4395035063","https://openalex.org/W4402742388","https://openalex.org/W4404546580","https://openalex.org/W4405922113","https://openalex.org/W4408052464","https://openalex.org/W4408673151","https://openalex.org/W4408958910"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"contemporary":[2],"power":[3,62,292],"grid":[4,63,212,293,309],"infrastructure,":[5],"the":[6,56,111,126,147,231,259,269,278,286],"stability":[7],"and":[8,35,49,69,82,106,136,162,174,182,187,205,214,248,288,301,313],"health":[9,128,266],"of":[10,39,58,79,114,237,240,243,246,254,272,280,290],"DC":[11,73,115,291],"systems":[12,21,74,116],"are":[13,28],"critical":[14,36,273],"for":[15,30,46,109,145,304],"uninterrupted":[16],"energy":[17,319],"delivery.":[18],"As":[19],"these":[20],"become":[22],"more":[23],"complex,":[24],"traditional":[25],"monitoring":[26,48,105,287],"methods":[27],"inadequate":[29],"detecting":[31],"early":[32,270],"warning":[33],"signs":[34],"failures.":[37],"Integration":[38],"cognitive":[40,281],"service":[41,282],"technologies":[42],"provides":[43,298],"promising":[44],"capabilities":[45],"intelligent":[47,80],"fault":[50,160,306],"detection":[51,271],"in":[52,72,75,87,284,317],"such":[53],"systems.":[54,294],"Despite":[55],"availability":[57],"raw":[59],"sensor":[60],"data,":[61],"operators":[64,310],"struggle":[65],"to":[66,91,100,124,262],"accurately":[67,263],"identify":[68],"predict":[70,125],"faults":[71],"real-time.":[76],"The":[77,120,165,223,275,295],"absence":[78],"classification":[81,188],"predictive":[83],"mechanisms":[84],"frequently":[85],"results":[86,257],"a":[88,102,196,219,249,299],"delayed":[89],"response":[90],"system":[92,265],"abnormalities,":[93],"jeopardizing":[94],"operational":[95,112],"reliability.":[96],"This":[97],"research":[98],"aims":[99],"develop":[101],"machine":[103],"learning-based":[104],"identification":[107,289],"framework":[108],"evaluating":[110],"status":[113],"using":[117,179,211],"sensor-driven":[118],"datasets.":[119],"primary":[121],"goal":[122],"is":[123,143,209,216],"system\u2019s":[127],"status\u2014Healthy,":[129],"Fault":[130],"Detected,":[131],"or":[132],"Critical":[133],"Fault\u2014using":[134],"electrical":[135],"environmental":[137],"parameters.":[138],"A":[139],"new":[140],"algorithm,":[141],"SmartDC-FaultMonitor,":[142],"proposed":[144,224],"analyzing":[146],"SmartDC-Monitoring":[148],"Dataset,":[149],"which":[150],"includes":[151,167],"voltage,":[152],"current,":[153],"temperature,":[154],"battery":[155],"condition,":[156],"communication":[157],"signal":[158],"strength,":[159],"alarms,":[161],"load":[163],"status.":[164],"methodology":[166],"data":[168],"preprocessing":[169],"(missing":[170],"value":[171],"handling,":[172],"encoding,":[173],"normalization),":[175],"hybrid":[176],"feature":[177],"selection":[178],"Mutual":[180],"Information":[181],"Recursive":[183],"Feature":[184],"Elimination":[185],"(RFE),":[186],"with":[189,234],"an":[190,235],"ensemble":[191,225],"voting":[192],"classifier":[193],"that":[194],"combines":[195],"Light":[197],"Gradient":[198],"Boosting":[199,203],"Machine":[200],"(LightGBM),":[201],"Categorical":[202],"(CatBoost),":[204],"TabNet.":[206],"Model":[207],"tuning":[208],"done":[210],"search,":[213],"performance":[215],"measured":[217],"on":[218,230],"hold-out":[220],"test":[221,232],"set.":[222],"model":[226],"achieved":[227],"high-performance":[228],"metrics":[229],"dataset,":[233],"accuracy":[236],"94.00%,":[238],"precision":[239],"93.75%,":[241],"recall":[242],"94.50%,":[244],"F1-score":[245],"94.12%,":[247],"Matthews":[250],"Correlation":[251],"Coefficient":[252],"(MCC)":[253],"0.91.":[255],"These":[256],"demonstrate":[258],"model\u2019s":[260],"ability":[261],"classify":[264],"statuses,":[267],"including":[268],"faults.":[274],"study":[276],"confirms":[277],"effectiveness":[279],"technology":[283],"improving":[285],"SmartDC-FaultMonitor":[296],"algorithm":[297],"dependable":[300],"scalable":[302],"approach":[303],"real-time":[305],"detection,":[307],"giving":[308],"timely":[311],"insights":[312],"enabling":[314],"proactive":[315],"maintenance":[316],"smart":[318],"infrastructures.":[320]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}