{"id":"https://openalex.org/W4385656563","doi":"https://doi.org/10.1109/tii.2023.3296875","title":"Operational Scenario Generation and Forecasting for Integrated Energy Systems","display_name":"Operational Scenario Generation and Forecasting for Integrated Energy Systems","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385656563","doi":"https://doi.org/10.1109/tii.2023.3296875"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3296875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3296875","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5022335829","display_name":"Yubin Wang","orcid":"https://orcid.org/0000-0003-4150-2034"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Wang","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4150-2034","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101994499","display_name":"Yixian Liu","orcid":"https://orcid.org/0009-0007-1095-0025"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixian Liu","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-1095-0025","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636290","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0002-0761-4692"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0761-4692","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.2645,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88740069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"2","first_page":"2920","last_page":"2931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9980000257492065,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.6482154130935669},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5899471044540405},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.5222671627998352},{"id":"https://openalex.org/keywords/operational-planning","display_name":"Operational planning","score":0.5187554359436035},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4736807644367218},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.45934540033340454},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4299898147583008},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4243791401386261},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41209733486175537},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.34255242347717285},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3320956826210022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23217037320137024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22280418872833252},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.19778302311897278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15267425775527954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08685579895973206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482154130935669},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5899471044540405},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.5222671627998352},{"id":"https://openalex.org/C2776613951","wikidata":"https://www.wikidata.org/wiki/Q7097788","display_name":"Operational planning","level":2,"score":0.5187554359436035},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4736807644367218},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.45934540033340454},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4299898147583008},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4243791401386261},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41209733486175537},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.34255242347717285},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3320956826210022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23217037320137024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22280418872833252},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.19778302311897278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15267425775527954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08685579895973206},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3296875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3296875","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8700000047683716,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2777398181","display_name":null,"funder_award_id":"52177119","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1971474913","https://openalex.org/W1996641676","https://openalex.org/W2009012905","https://openalex.org/W2113810680","https://openalex.org/W2114471530","https://openalex.org/W2286752160","https://openalex.org/W2739824434","https://openalex.org/W2896194880","https://openalex.org/W2914967911","https://openalex.org/W2933317068","https://openalex.org/W2963405537","https://openalex.org/W2987637574","https://openalex.org/W2994569288","https://openalex.org/W3020613774","https://openalex.org/W3033520335","https://openalex.org/W3035827227","https://openalex.org/W3082019920","https://openalex.org/W3089230449","https://openalex.org/W3107083634","https://openalex.org/W3139024363","https://openalex.org/W3157231049","https://openalex.org/W3194355893","https://openalex.org/W3209554310","https://openalex.org/W4200043908","https://openalex.org/W4205838795","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4390961098","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1570805059","https://openalex.org/W2357266745","https://openalex.org/W1578824628","https://openalex.org/W4389186299","https://openalex.org/W4285734845"],"abstract_inverted_index":{"The":[0,16,62,124],"integrated":[1,87],"energy":[2,14,34],"system":[3],"(IES)":[4],"is":[5,25,86,116,127],"considered":[6],"to":[7,93],"be":[8],"an":[9],"efficient":[10],"paradigm":[11],"for":[12,29,55,109],"low-carbon":[13],"provision.":[15],"accurate":[17],"modeling":[18],"of":[19,26,44,58,73,132],"inherent":[20],"operational":[21,46,60,70],"uncertainties":[22],"in":[23,97],"IES":[24,45,59,69],"paramount":[27],"importance":[28],"its":[30,142],"optimal":[31],"planning":[32],"and":[33,41,106,114,134,137],"management.":[35],"This":[36],"article":[37],"develops":[38],"a":[39,89,110,130],"generation":[40],"forecasting":[42,96],"approach":[43],"scenarios":[47,71],"based":[48],"on":[49],"Wasserstein":[50],"generative":[51],"adversarial":[52],"network":[53],"(WGAN)":[54],"the":[56,83,103,120,138],"characterization":[57],"uncertainties.":[61],"proposed":[63,125],"solution":[64,126],"can":[65],"efficiently":[66],"generate":[67],"high-quality":[68],"consisting":[72],"multivariate":[74],"uncertain":[75],"variables":[76],"without":[77],"explicit":[78],"statistical":[79],"assumptions.":[80],"In":[81],"addition,":[82],"well-trained":[84],"WGAN":[85],"into":[88],"constrained":[90],"optimization":[91],"problem":[92],"realize":[94],"scenario":[95],"compliance":[98],"with":[99],"certain":[100],"information":[101],"(i.e.,":[102],"past":[104],"observation":[105],"point":[107],"forecasting)":[108],"specific":[111],"coming":[112],"period,":[113],"it":[115],"not":[117],"restricted":[118],"by":[119],"forecast":[121],"look-ahead":[122],"horizons.":[123],"assessed":[128],"through":[129],"range":[131],"qualitative":[133],"quantitative":[135],"evaluations,":[136],"numerical":[139],"results":[140],"validate":[141],"effectiveness.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}