{"id":"https://openalex.org/W4412524629","doi":"https://doi.org/10.1145/3735014.3735907","title":"Application of Artificial Intelligence in Optimizing the Operation of Pumped Storage Plants","display_name":"Application of Artificial Intelligence in Optimizing the Operation of Pumped Storage Plants","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412524629","doi":"https://doi.org/10.1145/3735014.3735907"},"language":"en","primary_location":{"id":"doi:10.1145/3735014.3735907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3735014.3735907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Yan Yan","orcid":"https://orcid.org/0009-0008-0862-5124"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-0862-5124","affiliations":[{"raw_affiliation_string":"Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hui Li","orcid":"https://orcid.org/0009-0004-8297-8957"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-8297-8957","affiliations":[{"raw_affiliation_string":"Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Liu","orcid":"https://orcid.org/0009-0000-9641-2314"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-9641-2314","affiliations":[{"raw_affiliation_string":"Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Baosong Song","orcid":"https://orcid.org/0009-0001-0859-5868"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baosong Song","raw_affiliation_strings":["Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0859-5868","affiliations":[{"raw_affiliation_string":"Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Li","orcid":"https://orcid.org/0009-0005-3303-1406"},"institutions":[{"id":"https://openalex.org/I4210127555","display_name":"China Guodian Corporation (China)","ror":"https://ror.org/02zrmae98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-3303-1406","affiliations":[{"raw_affiliation_string":"Beijing Guodiantong Network Technology Co., Ltd, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210127555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210127555"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13050","display_name":"Oil and Gas Production Techniques","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9621000289916992,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9535999894142151,"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/computer-science","display_name":"Computer science","score":0.5999800562858582},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.3884938657283783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.357541024684906},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22641578316688538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5999800562858582},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3884938657283783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.357541024684906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22641578316688538}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3735014.3735907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3735014.3735907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W3108675989","https://openalex.org/W3156117144","https://openalex.org/W3191236168","https://openalex.org/W3198921849","https://openalex.org/W4283073191","https://openalex.org/W4307328459","https://openalex.org/W4324134722","https://openalex.org/W4376876427","https://openalex.org/W4387499969","https://openalex.org/W4393074974","https://openalex.org/W4401666400"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"pumped":[1],"storage":[2,11],"plant":[3],"(PSP)":[4],"is":[5],"an":[6,107],"indispensable":[7],"facility":[8],"for":[9,67,85,112],"energy":[10],"and":[12,21,24,31,49,59,72,87,102,127,137],"grid":[13],"regulation":[14],"in":[15,83],"the":[16,29,34,75,148,154,162],"electrical":[17],"power":[18,35,69],"system":[19,111,117,149],"(EPS),":[20],"its":[22],"efficient":[23,50,60],"safe":[25,86],"operation":[26],"significantly":[27,152],"impacts":[28],"stability":[30],"economy":[32],"of":[33,45,78,129,141,156,165],"grid.":[36],"Modern":[37],"PSP":[38,84,113],"typically":[39],"features":[40],"intelligent":[41,68],"equipment":[42,81,114],"systems":[43],"capable":[44],"real-time":[46],"data":[47,51],"collection":[48],"analysis,":[52],"with":[53],"integrated":[54],"fault":[55,157,166],"diagnosis,":[56],"early":[57],"warning,":[58,167],"communication":[61],"functions,":[62],"providing":[63],"a":[64,95],"solid":[65],"foundation":[66],"station":[70],"management":[71],"operation.":[73],"Considering":[74],"crucial":[76],"importance":[77],"accurately":[79],"monitoring":[80,100,110],"status":[82,131,139],"economical":[88],"operation,":[89],"artificial":[90],"intelligence":[91],"(AI)":[92],"has":[93],"become":[94],"key":[96],"means":[97],"to":[98,123],"improve":[99],"efficiency":[101],"accuracy.":[103],"This":[104],"article":[105],"proposes":[106],"innovative":[108],"AI-based":[109],"status.":[115],"The":[116],"utilizes":[118],"deep":[119],"learning":[120,126],"(DL)":[121],"algorithms":[122],"achieve":[124],"autonomous":[125],"extraction":[128],"operating":[130],"features,":[132],"enabling":[133],"accurate":[134],"performance":[135],"evaluation":[136],"health":[138],"prediction":[140],"critical":[142],"equipment.":[143],"Experimental":[144],"results":[145],"show":[146],"that":[147],"not":[150],"only":[151],"improves":[153],"accuracy":[155],"recognition":[158],"but":[159],"also":[160],"shortens":[161],"response":[163],"time":[164],"effectively":[168],"preventing":[169],"potential":[170],"safety":[171],"risks.":[172]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}