{"id":"https://openalex.org/W2918654115","doi":"https://doi.org/10.1109/tencon.2018.8650238","title":"Deep Learning Based Feature Reduction for Power System Transient Stability Assessment","display_name":"Deep Learning Based Feature Reduction for Power System Transient Stability Assessment","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2918654115","doi":"https://doi.org/10.1109/tencon.2018.8650238","mag":"2918654115"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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":"https://openalex.org/A5068852009","display_name":"Xueyan Yin","orcid":null},"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":"Xueyan Yin","raw_affiliation_strings":["Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058363207","display_name":"Yutian Liu","orcid":"https://orcid.org/0000-0001-6932-5207"},"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":"Yutian Liu","raw_affiliation_strings":["Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2308","last_page":"2312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9950000047683716,"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":0.9950000047683716,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9914000034332275,"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/T14276","display_name":"Power Systems and Technologies","score":0.9829999804496765,"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/transient","display_name":"Transient (computer programming)","score":0.7053101062774658},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6597267985343933},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6543485522270203},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6272462010383606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6012259125709534},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.48914602398872375},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.48730194568634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46520644426345825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21598100662231445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12134459614753723},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08295705914497375}],"concepts":[{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.7053101062774658},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6597267985343933},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6543485522270203},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6272462010383606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6012259125709534},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.48914602398872375},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.48730194568634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46520644426345825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21598100662231445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12134459614753723},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08295705914497375},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1977989176","https://openalex.org/W2036109700","https://openalex.org/W2166143947","https://openalex.org/W2342107842","https://openalex.org/W2344270078","https://openalex.org/W2355447995","https://openalex.org/W2373384191","https://openalex.org/W2763978449","https://openalex.org/W2765284480","https://openalex.org/W4247972671"],"related_works":["https://openalex.org/W2358137648","https://openalex.org/W2386042020","https://openalex.org/W2171916062","https://openalex.org/W1514891764","https://openalex.org/W4247603094","https://openalex.org/W2120796965","https://openalex.org/W3023796992","https://openalex.org/W2377193240","https://openalex.org/W3189572500","https://openalex.org/W2070261081"],"abstract_inverted_index":{"A":[0],"novel":[1],"feature":[2,26],"reduction":[3],"method":[4,59,100],"based":[5,60],"on":[6,61],"deep":[7],"learning":[8],"is":[9,33,41,64,115],"proposed":[10,99,125],"for":[11],"power":[12],"system":[13],"transient":[14,113],"stability":[15,114],"assessment":[16,111],"(TSA)":[17],"in":[18,74,84],"this":[19],"paper.":[20],"First":[21],"of":[22,31,71,87,106,112],"all,":[23],"an":[24],"original":[25],"set":[27,34],"including":[28],"three":[29],"parts":[30],"features":[32,47,83,121],"up.":[35],"Secondly,":[36],"the":[37,45,69,79,90,98,103,110,120,124],"stacked":[38],"autoencoder":[39],"(SAE)":[40],"used":[42],"to":[43,67],"extract":[44],"multi-level":[46],"from":[48],"raw":[49],"inputs":[50],"by":[51,118,123],"its":[52],"reconstruction":[53],"weights.":[54],"Then,":[55],"a":[56],"weight":[57],"analysis":[58],"mutual":[62],"information":[63],"put":[65],"forward":[66],"optimize":[68],"number":[70],"hidden":[72],"nodes":[73],"SAE,":[75],"which":[76],"can":[77,101],"remove":[78],"irrelevant":[80],"and":[81,109],"redundant":[82],"each":[85],"layer":[86],"SAE":[88,107],"at":[89],"same":[91],"time.":[92],"Finally,":[93],"test":[94],"results":[95],"demonstrate":[96],"that":[97],"reduce":[102],"training":[104],"burden":[105],"effectively,":[108],"more":[116],"accurate":[117],"applying":[119],"obtained":[122],"method.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}