{"id":"https://openalex.org/W4214775315","doi":"https://doi.org/10.1109/isgtasia49270.2021.9715708","title":"Correlation Analysis of Wind Farms through Short-term Probablitic Analysis","display_name":"Correlation Analysis of Wind Farms through Short-term Probablitic Analysis","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4214775315","doi":"https://doi.org/10.1109/isgtasia49270.2021.9715708"},"language":"en","primary_location":{"id":"doi:10.1109/isgtasia49270.2021.9715708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgtasia49270.2021.9715708","pdf_url":null,"source":{"id":"https://openalex.org/S4363605822","display_name":"2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","raw_type":"proceedings-article"},"type":"article","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/A5017314179","display_name":"Shichen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Shichen Yang","raw_affiliation_strings":["School of Engineering RMIT University,Melbourne,Australia","School of Engineering RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University,Melbourne,Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Engineering RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057313323","display_name":"Arash Vahidnia","orcid":"https://orcid.org/0000-0002-2443-2321"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arash Vahidnia","raw_affiliation_strings":["School of Engineering RMIT University,Melbourne,Australia","School of Engineering RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University,Melbourne,Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Engineering RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024342437","display_name":"Lasantha Meegahapola","orcid":"https://orcid.org/0000-0003-4471-8471"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lasantha Meegahapola","raw_affiliation_strings":["School of Engineering RMIT University,Melbourne,Australia","School of Engineering RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering RMIT University,Melbourne,Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Engineering RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017314179"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.28565784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10680","display_name":"Wind Energy Research and Development","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9934999942779541,"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/T11185","display_name":"Integrated Energy Systems Optimization","score":0.9728999733924866,"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/term","display_name":"Term (time)","score":0.7446404099464417},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4224006235599518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4219379127025604},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34942737221717834},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3222876489162445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20881646871566772},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12504467368125916}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7446404099464417},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4224006235599518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4219379127025604},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34942737221717834},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3222876489162445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20881646871566772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12504467368125916},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isgtasia49270.2021.9715708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgtasia49270.2021.9715708","pdf_url":null,"source":{"id":"https://openalex.org/S4363605822","display_name":"2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma61RMIT.INST:11293052430001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ISGTAsia49270.2021.9715708","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1984114384","https://openalex.org/W1991420715","https://openalex.org/W2068823081","https://openalex.org/W2086019018","https://openalex.org/W2103423210","https://openalex.org/W2113810680","https://openalex.org/W2144237091","https://openalex.org/W2146981000","https://openalex.org/W2156604062","https://openalex.org/W2199800958","https://openalex.org/W2232937182","https://openalex.org/W2294198843","https://openalex.org/W2344717310","https://openalex.org/W2397800115","https://openalex.org/W2588993293","https://openalex.org/W2592732441","https://openalex.org/W2603506078","https://openalex.org/W2619246642","https://openalex.org/W2887903076","https://openalex.org/W2894052135","https://openalex.org/W2896920734","https://openalex.org/W3010188442","https://openalex.org/W3134376061","https://openalex.org/W6687823303"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0,65,83,106],"intermittency":[1],"of":[2,34,52],"renewable":[3],"energy":[4],"resources":[5],"such":[6],"as":[7],"wind":[8,54,118,153,173],"farms":[9,55,154],"is":[10],"causing":[11],"a":[12],"significant":[13],"challenge":[14],"on":[15,47,92],"power":[16,49,168],"grids":[17],"due":[18],"to":[19,28,56,132],"possible":[20],"short-term":[21,36,104,156],"steep":[22,62,137],"variations":[23],"in":[24,38,139,167],"generation.":[25],"In":[26],"order":[27],"properly":[29],"quantify":[30],"the":[31,48,58,87,115,126,134,147,161],"probabilistic":[32,142],"nature":[33],"these":[35],"changes,":[37],"this":[39,121],"paper,":[40],"several":[41],"correlation":[42,59,149],"coefficient":[43,74],"methods":[44],"are":[45],"applied":[46],"generation":[50,63,94,140,157],"data":[51,158],"Australian":[53],"define":[57],"between":[60,117],"their":[61],"variations.":[64],"study":[66,145],"has":[67],"compared":[68],"Pearson":[69],"Correlation":[70],"Coefficient":[71],"(PCC),":[72],"Sørensen-Dice":[73],"(DC),":[75],"Overlaps":[76],"similarity":[77],"(OS),":[78],"and":[79,98,120,159],"K-means":[80,112],"clustering":[81],"methods.":[82],"results":[84,102],"show":[85,100,133],"that":[86],"PCC":[88],"provides":[89],"better":[90,101],"performance":[91],"long-term":[93],"datasets,":[95],"while,":[96],"DC":[97],"OS":[99],"for":[103,151],"conditions.":[105],"Standard":[107],"Deviation":[108],"(SD)":[109],"computed":[110],"with":[111,141,155,170],"can":[113,164],"present":[114],"interrelationship":[116],"farms,":[119],"method":[122,150],"could":[123],"also":[124],"split":[125],"aggregated":[127],"SD":[128,163],"into":[129],"different":[130,152],"groups":[131],"impact":[135],"from":[136],"variation":[138],"analysis.":[143],"This":[144],"presented":[146],"feasible":[148],"proved":[160],"“extreme”":[162],"cause":[165],"contingency":[166],"systems":[169],"high":[171],"penetration":[172],"farms.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}