{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T19:21:31Z","timestamp":1769282491072,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072077"],"award-info":[{"award-number":["62072077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176043"],"award-info":[{"award-number":["62176043"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872059"],"award-info":[{"award-number":["61872059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Verification Platform of Multitier Coverage Communication Network for oceans","award":["LZC0020"],"award-info":[{"award-number":["LZC0020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tii.2022.3158927","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T19:46:46Z","timestamp":1647373606000},"page":"1196-1206","source":"Crossref","is-referenced-by-count":8,"title":["Reservoir Inflow Forecasting in Hydropower Industry: A Generative Flow-Based Approach"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8038-8150","authenticated-orcid":false,"given":"Fan","family":"Zhou","sequence":"first","affiliation":[{"name":"University of Electronic Science, Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7167-9055","authenticated-orcid":false,"given":"Zhiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Electronic Science, Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0745-5836","authenticated-orcid":false,"given":"Dajiang","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Electronic Science, Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4262-153X","authenticated-orcid":false,"given":"Kuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical, Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA"}]}],"member":"263","reference":[{"key":"ref39","first-page":"6572","article-title":"Neural ordinary differential equations","author":"chen","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref38","first-page":"2722","article-title":"Flow: Improving flow-based generative models with variational dequantization and architecture design","author":"ho","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","first-page":"9916","article-title":"Residual flows for invertible generative modeling","author":"chen","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref32","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992934"},{"key":"ref30","first-page":"10236","article-title":"Glow: Generative flow with invertible 1&#x00D7; 1 convolutions","author":"kingma","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref37","article-title":"Multi-variate probabilistic time series forecasting via conditioned normalizing flows","author":"rasul","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref35","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref34","first-page":"573","article-title":"Invertible residual networks","author":"behrmann","year":"0","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-020-02591-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2951708"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2984443"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.124229"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.124631"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/w12051500"},{"key":"ref18","first-page":"1","article-title":"Normalizing flows for probabilistic modeling and inference","volume":"22","author":"papamakarios","year":"2021","journal-title":"J Mach Learn Res"},{"key":"ref19","first-page":"246","article-title":"The use of simulation models and human advice to build an expert system for the defense and control of river floods","author":"cuena","year":"0","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2865527"},{"key":"ref28","first-page":"4743","article-title":"Improved variational inference with inverse autoregressive flow","author":"kingma","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref27","first-page":"2335","article-title":"Masked autoregressive flow for density estimation","author":"papamakarios","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2809669"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2963250"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2844296"},{"key":"ref29","article-title":"Density estimation using real NVP","author":"dinh","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-015-0962-6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v25i1.7794"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3029258"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0000553"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3004857"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-019-02252-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.07.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-018-2094-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/402"},{"key":"ref26","article-title":"NICE: Non-linear independent components estimation","author":"dinh","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref25","first-page":"1530","article-title":"Variational inference with normalizing flows","author":"rezende","year":"0","journal-title":"Proc 32nd Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9989328\/09735273.pdf?arnumber=9735273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T19:21:00Z","timestamp":1673896860000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9735273\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":39,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3158927","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}