{"id":"https://openalex.org/W2291701686","doi":"https://doi.org/10.1109/tsg.2015.2444813","title":"Stochastic Optimization-Based Economic Dispatch and Interruptible Load Management With Increased Wind Penetration","display_name":"Stochastic Optimization-Based Economic Dispatch and Interruptible Load Management With Increased Wind Penetration","publication_year":2015,"publication_date":"2015-07-08","ids":{"openalex":"https://openalex.org/W2291701686","doi":"https://doi.org/10.1109/tsg.2015.2444813","mag":"2291701686"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2015.2444813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2015.2444813","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-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/A5072565301","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-5176-003X"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nevada, Reno, NV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nevada, Reno, NV, USA","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713715","display_name":"Miao He","orcid":"https://orcid.org/0000-0003-3876-8157"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086161494","display_name":"Vijay Vittal","orcid":"https://orcid.org/0000-0001-5886-9698"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Vittal","raw_affiliation_strings":["School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027033026","display_name":"Junshan Zhang","orcid":"https://orcid.org/0000-0002-3840-1753"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junshan Zhang","raw_affiliation_strings":["School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0815,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.94408847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"2","first_page":"730","last_page":"739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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":0.9987999796867371,"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/markov-chain","display_name":"Markov chain","score":0.6543809175491333},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6458324193954468},{"id":"https://openalex.org/keywords/economic-dispatch","display_name":"Economic dispatch","score":0.594751238822937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788859724998474},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.5524111986160278},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5332403182983398},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.4556652903556824},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36333250999450684},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.2960324287414551},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18044599890708923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1569017767906189},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08056792616844177}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6543809175491333},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6458324193954468},{"id":"https://openalex.org/C187633118","wikidata":"https://www.wikidata.org/wiki/Q1317949","display_name":"Economic dispatch","level":4,"score":0.594751238822937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788859724998474},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.5524111986160278},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5332403182983398},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.4556652903556824},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36333250999450684},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.2960324287414551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18044599890708923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1569017767906189},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08056792616844177},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2015.2444813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2015.2444813","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1436254380","display_name":null,"funder_award_id":"CPS-1035906","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G394994095","display_name":null,"funder_award_id":"CNS-1218484","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6015542055","display_name":null,"funder_award_id":"HDTRA1-13-1-0029","funder_id":"https://openalex.org/F4320332186","funder_display_name":"Defense Threat Reduction Agency"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320338290","display_name":"National Renewable Energy Laboratory","ror":"https://ror.org/036266993"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W78931549","https://openalex.org/W150900648","https://openalex.org/W208371877","https://openalex.org/W1526633947","https://openalex.org/W1982635374","https://openalex.org/W1984572828","https://openalex.org/W1992262101","https://openalex.org/W2000963072","https://openalex.org/W2033225140","https://openalex.org/W2036435667","https://openalex.org/W2043388906","https://openalex.org/W2062343321","https://openalex.org/W2063075683","https://openalex.org/W2066481368","https://openalex.org/W2067108585","https://openalex.org/W2098046554","https://openalex.org/W2098394615","https://openalex.org/W2098854737","https://openalex.org/W2106289767","https://openalex.org/W2106360563","https://openalex.org/W2110050136","https://openalex.org/W2116740585","https://openalex.org/W2121275441","https://openalex.org/W2125888944","https://openalex.org/W2126540864","https://openalex.org/W2131512356","https://openalex.org/W2135131968","https://openalex.org/W2138267502","https://openalex.org/W2138522652","https://openalex.org/W2139171160","https://openalex.org/W2146981000","https://openalex.org/W2156606711","https://openalex.org/W2166464259","https://openalex.org/W2272593346","https://openalex.org/W2335814575","https://openalex.org/W2471194915","https://openalex.org/W2473240493","https://openalex.org/W2535154010","https://openalex.org/W6628872029","https://openalex.org/W6631452015","https://openalex.org/W6659616054","https://openalex.org/W6675743602","https://openalex.org/W6680469784","https://openalex.org/W6720448957"],"related_works":["https://openalex.org/W4254717236","https://openalex.org/W2377757044","https://openalex.org/W3160952126","https://openalex.org/W2320103255","https://openalex.org/W798918733","https://openalex.org/W4213167601","https://openalex.org/W2560830881","https://openalex.org/W2101287851","https://openalex.org/W163279402","https://openalex.org/W2403168774"],"abstract_inverted_index":{"In":[0],"this":[1,86],"paper,":[2],"stochastic":[3,103,134,159],"optimization":[4,51,92,104],"of":[5,19,28,61,76,93],"economic":[6],"dispatch":[7],"(ED)":[8],"and":[9,58,79,95,161,181,203],"interruptible":[10,96,205],"load":[11,97,206],"management":[12,98],"is":[13,46,99,110,136],"investigated":[14],"using":[15,24,112,150,175],"short-term":[16],"distributional":[17,39,87,121,201],"forecast":[18,40,88,155,202],"wind":[20,29,43,62,153,168,183,189],"farm":[21,30,44],"generation.":[22],"Specifically,":[23],"the":[25,55,59,90,119,126,144,151,176,192,198,204],"statistical":[26],"information":[27],"generation":[31,45,63,154,169],"extracted":[32],"from":[33,186],"historical":[34],"data,":[35],"a":[36,49,102,107],"Markov":[37,71,199],"chain-based":[38,200],"model":[41],"for":[42,66,73,80,129],"developed":[47],"in":[48,53,165],"rigorous":[50],"framework,":[52],"which":[54,166],"diurnal":[56],"nonstationarity":[57],"seasonality":[60],"are":[64,171],"accounted":[65],"by":[67,196],"constructing":[68],"multiple":[69],"finite-state":[70],"chains":[72],"each":[74,81],"epoch":[75],"3":[77],"h":[78],"individual":[82],"month.":[83],"Based":[84],"on":[85,118],"model,":[89],"joint":[91],"ED":[94,109,135,141,149],"cast":[100],"as":[101],"problem.":[105],"Additionally,":[106],"robust":[108,145],"formulated":[111],"an":[113,187],"uncertainty":[114],"set":[115],"constructed":[116],"based":[117],"proposed":[120,133],"forecast,":[122],"aiming":[123],"to":[124],"minimize":[125],"system":[127],"cost":[128],"worst":[130],"cases.":[131],"The":[132],"compared":[137],"with":[138],"four":[139],"other":[140],"schemes:":[142],"1)":[143],"ED;":[146,160],"2)":[147],"deterministic":[148,163],"persistence":[152],"model;":[156],"3)":[157],"scenario-based":[158],"4)":[162],"ED,":[164],"perfect":[167],"forecasts":[170],"used.":[172],"Numerical":[173],"studies,":[174],"IEEE":[177],"Reliability":[178],"Test":[179],"System-1996":[180],"realistic":[182],"measurement":[184],"data":[185],"actual":[188],"farm,":[190],"demonstrate":[191],"significant":[193],"benefits":[194],"obtained":[195],"leveraging":[197],"management.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}