{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:29:52Z","timestamp":1761294592773,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T00:00:00Z","timestamp":1673827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T00:00:00Z","timestamp":1673827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,16]]},"DOI":"10.1109\/isgt51731.2023.10066337","type":"proceedings-article","created":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T17:31:37Z","timestamp":1679506297000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Future Distribution Power Flow Scenario Generation Method Using Generative Adversarial Network Considering Correlation Between DERs"],"prefix":"10.1109","author":[{"given":"Hiroki","family":"Ichinomiya","sequence":"first","affiliation":[{"name":"School of Engineering, Tokyo Institute of Technology,Department of Electrical and Electronic Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenichi","family":"Kawabe","sequence":"additional","affiliation":[{"name":"School of Engineering, Tokyo Institute of Technology,Department of Electrical and Electronic Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Surachai","family":"Chaitusaney","sequence":"additional","affiliation":[{"name":"Chulalongkorn University,Department of Electrical Engineering,Bangkok,Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"PG&ES 2021 DISTRIBUTION GRID NEEDS ASSESSMENT","key":"ref1"},{"volume-title":"[Online]. Av ailable","key":"ref2","article-title":"Central Hudson Distributed System Implementation Plan"},{"volume-title":"Distribution Future Energy Scenarios 2021","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17989-1"},{"volume-title":"VPP\/EV Aggregation Project in Japan","key":"ref5"},{"volume-title":"Non-Wires Solutions to Provide Demand Side Management for Sub tr ansmission and Distribution System Load Relief","key":"ref6"},{"article-title":"Development of Future DER Profile Scenarios Using Generative Adversarial Network for Stochastic Distribution Grid Planning","volume-title":"CIGRE Kyoto Symposium, C000022","author":"Ichinomiya","key":"ref7"},{"key":"ref8","article-title":"Generativ e Adversarial Nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.105388"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2794541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2875936"},{"key":"ref12","article-title":"Wasserstein gen erative adversarial networks","author":"Arjovsky","year":"2017","journal-title":"arXiv preprint"},{"key":"ref13","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Unsupervised represe ntation learning with deep convolutional generative adversarial network s","author":"Radford","year":"2015","journal-title":"arXiv preprint"},{"key":"ref15","article-title":"Ensembles of G enerative Adversarial Networks","author":"Wang","year":"2016","journal-title":"arXiv preprint"},{"key":"ref16","article-title":"Impact of uncoordinated plug-in electric vehicle charging on residential power demand-supplementary data","author":"Muratori","year":"2017","journal-title":"National Renew able Energy Laboratory"},{"volume-title":"Solar Power Data for Integration Studies","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.118177"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2019.2922882"},{"volume-title":"U. S. Solar Photovoltaic System and Energy Storage Cost Benchmark: Q1 2020","key":"ref20"}],"event":{"name":"2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","start":{"date-parts":[[2023,1,16]]},"location":"Washington, DC, USA","end":{"date-parts":[[2023,1,19]]}},"container-title":["2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10066177\/10066335\/10066337.pdf?arnumber=10066337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T03:57:54Z","timestamp":1709438274000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10066337\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,16]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/isgt51731.2023.10066337","relation":{},"subject":[],"published":{"date-parts":[[2023,1,16]]}}}