{"id":"https://openalex.org/W2896194880","doi":"https://doi.org/10.1109/access.2018.2875936","title":"Scenario Generation for Wind Power Using Improved Generative Adversarial Networks","display_name":"Scenario Generation for Wind Power Using Improved Generative Adversarial Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896194880","doi":"https://doi.org/10.1109/access.2018.2875936","mag":"2896194880"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2875936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875936","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2875936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046105049","display_name":"Congmei Jiang","orcid":"https://orcid.org/0000-0002-6477-5580"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Congmei Jiang","raw_affiliation_strings":["Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6477-5580","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012398378","display_name":"Yongfang Mao","orcid":"https://orcid.org/0000-0003-3567-1886"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfang Mao","raw_affiliation_strings":["Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052594325","display_name":"Yi Chai","orcid":"https://orcid.org/0000-0002-2717-5981"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chai","raw_affiliation_strings":["Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018964485","display_name":"Mingbiao Yu","orcid":"https://orcid.org/0000-0002-5124-9987"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingbiao Yu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5124-9987","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074205801","display_name":"Songbing Tao","orcid":"https://orcid.org/0000-0002-5963-3182"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songbing Tao","raw_affiliation_strings":["Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5963-3182","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex System Safety and Control, Ministry of Education, College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046105049"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.7964,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.93974843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"62193","last_page":"62203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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/T10424","display_name":"Electric Power System Optimization","score":0.994700014591217,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8558464050292969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7918192148208618},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6231777667999268},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5935448408126831},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5108880400657654},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.4513019621372223},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4328606426715851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38658320903778076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32379069924354553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1326451599597931}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8558464050292969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918192148208618},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6231777667999268},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5935448408126831},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5108880400657654},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.4513019621372223},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4328606426715851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38658320903778076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32379069924354553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1326451599597931},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2875936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875936","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28ca23566e05438d91682028ad2f3126","is_oa":true,"landing_page_url":"https://doaj.org/article/28ca23566e05438d91682028ad2f3126","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 62193-62203 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2875936","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875936","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G1599624027","display_name":null,"funder_award_id":"61633005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3548942217","display_name":null,"funder_award_id":"61374135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W326249748","https://openalex.org/W385466589","https://openalex.org/W1501916037","https://openalex.org/W1522301498","https://openalex.org/W1553000336","https://openalex.org/W1710476689","https://openalex.org/W1970071487","https://openalex.org/W1971474913","https://openalex.org/W2002506366","https://openalex.org/W2006558836","https://openalex.org/W2009012905","https://openalex.org/W2039536168","https://openalex.org/W2102173406","https://openalex.org/W2113810680","https://openalex.org/W2116740585","https://openalex.org/W2145334893","https://openalex.org/W2148402438","https://openalex.org/W2153263933","https://openalex.org/W2158365507","https://openalex.org/W2159647569","https://openalex.org/W2173520492","https://openalex.org/W2271840356","https://openalex.org/W2286694347","https://openalex.org/W2286752160","https://openalex.org/W2432004435","https://openalex.org/W2575535575","https://openalex.org/W2596763562","https://openalex.org/W2605135824","https://openalex.org/W2739824434","https://openalex.org/W2752660961","https://openalex.org/W2755577605","https://openalex.org/W2768052540","https://openalex.org/W2768599997","https://openalex.org/W2768601846","https://openalex.org/W2790452209","https://openalex.org/W2790871512","https://openalex.org/W2793938489","https://openalex.org/W2963373786","https://openalex.org/W2963405537","https://openalex.org/W2963592272","https://openalex.org/W2963873275","https://openalex.org/W2964057425","https://openalex.org/W2964076568","https://openalex.org/W2964121744","https://openalex.org/W2964218010","https://openalex.org/W3037932933","https://openalex.org/W3145585884","https://openalex.org/W3147320355","https://openalex.org/W3193917007","https://openalex.org/W4295521014","https://openalex.org/W6630046802","https://openalex.org/W6637568146","https://openalex.org/W6744336401"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W4293202849","https://openalex.org/W3200695403","https://openalex.org/W4288087796","https://openalex.org/W2982339091"],"abstract_inverted_index":{"Wind":[0],"power":[1,12,17,40,108],"scenarios":[2,37,56],"have":[3],"a":[4,19,27,67,85,117,144],"significant":[5,20],"impact":[6],"on":[7,70,91,127],"stochastic":[8],"optimization":[9],"problems":[10],"for":[11,38,45,103],"systems":[13],"in":[14,54,65,147],"which":[15,66],"wind":[16,107,177],"is":[18,73,83,167],"component.":[21],"Generative":[22],"adversarial":[23],"networks":[24,82],"(GANs)":[25],"are":[26],"powerful":[28],"class":[29],"of":[30,52,78,106,132],"generative":[31],"models,":[32],"and":[33,130],"can":[34,57,155],"generate":[35],"realistic":[36],"renewable":[39],"sources":[41],"without":[42],"the":[43,50,63,104,112,123,128,133,138,148,152,160,175,189],"need":[44],"any":[46],"modeling":[47],"assumptions.":[48],"However,":[49],"performance":[51],"GANs":[53],"generating":[55],"further":[58,142],"be":[59,156],"improved":[60,101],"by":[61,159],"modifying":[62],"way":[64],"Lipschitz":[68,124,162],"constraint":[69,125],"discriminator":[71,134],"network":[72],"imposed.":[74],"Another":[75],"critical":[76],"problem":[77,154],"applying":[79],"deep":[80],"neural":[81],"overfitting,":[84],"phenomenon":[86],"especially":[87],"prone":[88],"to":[89,121,169],"appear":[90],"small":[92],"training":[93,113,149],"sets.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98,115,141],"propose":[99],"an":[100],"GAN":[102],"generation":[105],"scenarios.":[109],"To":[110,136],"improve":[111,137],"speed,":[114],"use":[116,143],"gradient":[118],"penalty":[119],"term":[120,146],"enforce":[122],"based":[126],"output":[129],"input":[131],"network.":[135],"scenario":[139],"quality,":[140],"consistency":[145],"procedure.":[150],"Besides,":[151],"overfitting":[153],"effectively":[157],"alleviated":[158],"enforced":[161],"continuity.":[163],"The":[164,181],"proposed":[165],"method":[166,187],"applied":[168],"actual":[170],"time":[171],"series":[172],"data":[173,179],"from":[174],"NREL":[176],"integration":[178],"set.":[180],"experimental":[182],"results":[183],"demonstrate":[184],"that":[185],"our":[186],"outperforms":[188],"existing":[190],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}