{"id":"https://openalex.org/W4412571853","doi":"https://doi.org/10.1007/s44163-025-00431-5","title":"Real-time perception and intelligent early warning technology for power grid control operations based on multi-dimensional data fusion","display_name":"Real-time perception and intelligent early warning technology for power grid control operations based on multi-dimensional data fusion","publication_year":2025,"publication_date":"2025-07-22","ids":{"openalex":"https://openalex.org/W4412571853","doi":"https://doi.org/10.1007/s44163-025-00431-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00431-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00431-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00431-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00431-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100431902","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-9799-9230"},"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":"Wei Li","raw_affiliation_strings":["Foshan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Foshan, 528000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Foshan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Foshan, 528000, Guangdong, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057931895","display_name":"Chao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Hu","raw_affiliation_strings":["Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442102","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-7824-3673"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103022270","display_name":"Wei Peng","orcid":"https://orcid.org/0000-0001-8970-4757"},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Peng","raw_affiliation_strings":["Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing NARI Information and Communication Technology Co., Ltd., Nanjing, 211100, Jiangsu, China","institution_ids":["https://openalex.org/I4210118629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100431902"],"corresponding_institution_ids":["https://openalex.org/I74872605"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.7469,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74780142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"5","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":0.9833999872207642,"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":0.9833999872207642,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9323999881744385,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6556039452552795},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.6145627498626709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993891954421997},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.5970240831375122},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5897400975227356},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5484288334846497},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5017728805541992},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44163939356803894},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4389336407184601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4183503985404968},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3988136053085327},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14430198073387146},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13493013381958008},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0725354552268982}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6556039452552795},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.6145627498626709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993891954421997},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.5970240831375122},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5897400975227356},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5484288334846497},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5017728805541992},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44163939356803894},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4389336407184601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4183503985404968},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3988136053085327},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14430198073387146},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13493013381958008},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0725354552268982},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00431-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00431-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00431-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:62319e76bde946db94911c0c056af728","is_oa":true,"landing_page_url":"https://doaj.org/article/62319e76bde946db94911c0c056af728","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":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-14 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00431-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00431-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00431-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412571853.pdf","grobid_xml":"https://content.openalex.org/works/W4412571853.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W3118347259","https://openalex.org/W3205033750","https://openalex.org/W4225243427","https://openalex.org/W4281788215","https://openalex.org/W4285108065","https://openalex.org/W4289519229","https://openalex.org/W4296425723","https://openalex.org/W4311751505","https://openalex.org/W4312722434","https://openalex.org/W4376851249","https://openalex.org/W4377715974","https://openalex.org/W4379983756","https://openalex.org/W4386233465","https://openalex.org/W4386328993","https://openalex.org/W4387418564","https://openalex.org/W4387609274","https://openalex.org/W4388625101","https://openalex.org/W4390075005","https://openalex.org/W4390824844","https://openalex.org/W4394610227","https://openalex.org/W4396863395","https://openalex.org/W4404550905"],"related_works":["https://openalex.org/W2973880684","https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"With":[0],"the":[1,22,26,95,100,103,119,123,133,136,140],"increasing":[2],"complexity":[3],"of":[4,25,99,105,125,139],"power":[5,27,48,165],"grid":[6,49,166],"regulation":[7,50],"scenarios,":[8],"traditional":[9],"monitoring":[10],"systems":[11],"rely":[12],"on":[13,53],"a":[14,40],"single":[15],"data":[16,55,61],"source":[17],"and":[18,34,43,64,69,74,78,86,109,114,118,145,150,157,160,174],"cannot":[19],"fully":[20],"reflect":[21],"real-time":[23,41,84,159],"status":[24],"grid,":[28],"resulting":[29],"in":[30,102,122,142],"delayed":[31],"fault":[32,108,111,127],"detection":[33],"response.":[35],"Therefore,":[36],"this":[37],"article":[38],"proposes":[39],"perception":[42,85],"intelligent":[44,87],"warning":[45,88,97],"technology":[46,58],"for":[47,164,171],"operations":[51],"based":[52],"multidimensional":[54],"fusion.":[56],"This":[57],"integrates":[59],"dynamic":[60],"from":[62],"factories":[63],"stations,":[65],"operation":[66],"ticket":[67],"content,":[68],"3D":[70],"virtual":[71],"environment":[72],"information,":[73],"uses":[75],"deep":[76],"learning":[77,80],"reinforcement":[79],"algorithms":[81],"to":[82],"construct":[83],"models.":[89],"The":[90],"experimental":[91],"results":[92],"show":[93],"that":[94],"early":[96],"time":[98],"model":[101,141],"case":[104,124],"short":[106],"circuit":[107],"equipment":[110,126],"is":[112,128,148],"78.2s":[113],"66.7":[115],"s":[116],"respectively,":[117,152],"processing":[120],"delay":[121],"only":[129],"70.2":[130],"ms.":[131],"At":[132],"same":[134],"time,":[135],"CPU":[137],"utilization":[138],"normal":[143],"state":[144],"line":[146],"overload":[147],"47.45%":[149],"54.87%,":[151],"with":[153,168],"low":[154],"resource":[155],"consumption":[156],"strong":[158],"efficient":[161,175],"performance,":[162],"suitable":[163],"scenarios":[167],"high":[169],"requirements":[170],"fast":[172],"response":[173],"processing.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}