{"id":"https://openalex.org/W3192286324","doi":"https://doi.org/10.1109/cec45853.2021.9504847","title":"Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model","display_name":"Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3192286324","doi":"https://doi.org/10.1109/cec45853.2021.9504847","mag":"3192286324"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5009975334","display_name":"Wenlei Bai","orcid":"https://orcid.org/0000-0003-3759-3455"},"institutions":[{"id":"https://openalex.org/I86725329","display_name":"Hitachi Global Storage Technologies (United States)","ror":"https://ror.org/02q0s1x22","country_code":"US","type":"company","lineage":["https://openalex.org/I86725329"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenlei Bai","raw_affiliation_strings":["Hitachi ABB Power Grids,Houston,Texas","Hitachi ABB Power Grids, Houston, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi ABB Power Grids,Houston,Texas","institution_ids":["https://openalex.org/I86725329"]},{"raw_affiliation_string":"Hitachi ABB Power Grids, Houston, Texas","institution_ids":["https://openalex.org/I86725329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054313662","display_name":"Xinxin Zhu","orcid":"https://orcid.org/0000-0001-6229-5615"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinxin Zhu","raw_affiliation_strings":["Texas A&M University,College Station,Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,College Station,Texas","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048238798","display_name":"Kwang Y. Lee","orcid":"https://orcid.org/0000-0002-9965-9117"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwang Y. Lee","raw_affiliation_strings":["Baylor University,Waco,Texas","Baylor University, Waco, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baylor University,Waco,Texas","institution_ids":["https://openalex.org/I157394403"]},{"raw_affiliation_string":"Baylor University, Waco, Texas","institution_ids":["https://openalex.org/I157394403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9997000098228455,"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/T10424","display_name":"Electric Power System Optimization","score":0.9997000098228455,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994000196456909,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9991000294685364,"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/wind-speed","display_name":"Wind speed","score":0.6994901895523071},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6981156468391418},{"id":"https://openalex.org/keywords/intermittency","display_name":"Intermittency","score":0.6826730966567993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.572091817855835},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5514626502990723},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5148431658744812},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.46038201451301575},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.41176673769950867},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3124330937862396},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24362275004386902},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.22127199172973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0835997462272644}],"concepts":[{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6994901895523071},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6981156468391418},{"id":"https://openalex.org/C2780388094","wikidata":"https://www.wikidata.org/wiki/Q1666248","display_name":"Intermittency","level":3,"score":0.6826730966567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.572091817855835},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5514626502990723},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5148431658744812},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.46038201451301575},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.41176673769950867},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3124330937862396},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24362275004386902},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.22127199172973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0835997462272644},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W105723088","https://openalex.org/W1546269944","https://openalex.org/W1928052598","https://openalex.org/W1971474913","https://openalex.org/W1991857164","https://openalex.org/W2055310737","https://openalex.org/W2066481368","https://openalex.org/W2069760699","https://openalex.org/W2080699696","https://openalex.org/W2086284119","https://openalex.org/W2106424475","https://openalex.org/W2106922602","https://openalex.org/W2285807728","https://openalex.org/W2287814884","https://openalex.org/W2313953460","https://openalex.org/W2497152198","https://openalex.org/W2773581256","https://openalex.org/W2802562461","https://openalex.org/W3151870974","https://openalex.org/W4292483811","https://openalex.org/W6632624651","https://openalex.org/W6677096361","https://openalex.org/W6696126189"],"related_works":["https://openalex.org/W2564644595","https://openalex.org/W1566002589","https://openalex.org/W1589804082","https://openalex.org/W2042838258","https://openalex.org/W4226166178","https://openalex.org/W2733822397","https://openalex.org/W4380482219","https://openalex.org/W4377969695","https://openalex.org/W2028780417","https://openalex.org/W2008549418"],"abstract_inverted_index":{"With":[0],"large":[1,92],"wind":[2,26,29,39,53,56,61,145],"energy":[3],"penetration":[4],"to":[5,16,107,158],"power":[6,8,75,78,83],"grid,":[7],"system":[9,79,157],"operation":[10,24],"has":[11,138],"become":[12],"more":[13],"complex":[14],"due":[15],"the":[17,47,64,70,160],"intermittency":[18],"of":[19,25],"wind.":[20],"For":[21],"an":[22],"efficient":[23],"energy,":[27],"accurate":[28],"speed":[30,40,54],"forecast":[31,41,65,136],"is":[32,43,85],"in":[33,52,69,129],"urgent":[34],"need.":[35],"Here,":[36],"a":[37,86,115,153],"statistical":[38],"model":[42,66,137],"proposed":[44],"which":[45],"considers":[46],"spatial":[48],"and":[49,55,89,105],"temporal":[50],"correlations":[51],"direction":[57],"among":[58],"geographically":[59],"dispersed":[60],"farms.":[62],"Then":[63],"was":[67,127],"incorporated":[68],"one-day":[71],"ahead":[72],"dynamic":[73,133],"optimal":[74,82],"flow":[76,84],"for":[77,132],"operation.":[80],"Dynamic":[81],"highly":[87],"non-linear":[88],"non-convex":[90],"with":[91,143],"control":[93],"variable":[94],"optimization":[95,99],"problem.":[96],"Modern":[97],"heuristic":[98,117],"techniques":[100],"have":[101],"proven":[102],"their":[103],"efficiency":[104],"robustness":[106],"such":[108],"problem,":[109],"so":[110],"this":[111,130],"work":[112,131],"focuses":[113],"on":[114,152],"novel":[116],"method,":[118],"artificial":[119,124],"bee":[120,125],"colony.":[121],"The":[122,135],"original":[123],"colony":[126],"modified":[128,154],"optimization.":[134],"been":[139],"verified":[140],"by":[141],"comparing":[142],"actual":[144],"speed.":[146],"Several":[147],"case":[148],"studies":[149],"are":[150],"implemented":[151],"IEEE":[155],"30-bus":[156],"verify":[159],"performances.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}