{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T03:26:02Z","timestamp":1778988362105,"version":"3.51.4"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2016YFC0402205"],"award-info":[{"award-number":["2016YFC0402205"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91547208"],"award-info":[{"award-number":["91547208"]}],"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":["U1865202"],"award-info":[{"award-number":["U1865202"]}],"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":["51579107"],"award-info":[{"award-number":["51579107"]}],"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":["91647114"],"award-info":[{"award-number":["91647114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2948760","type":"journal-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T19:26:01Z","timestamp":1571685961000},"page":"158170-158182","source":"Crossref","is-referenced-by-count":18,"title":["Deriving Operating Rules of Hydropower Reservoirs Using Gaussian Process Regression"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2698-9115","authenticated-orcid":false,"given":"Benjun","family":"Jia","sequence":"first","affiliation":[]},{"given":"Jianzhong","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5359-9908","authenticated-orcid":false,"given":"Zhongzheng","family":"He","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Qin","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1029\/2008WR007355"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1175\/JHM-D-10-05009.1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015563820136"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1051\/matecconf\/201824601013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/2016WR020180"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1029\/WR016i006p00987"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2014.01.023"},{"key":"ref36","volume":"2","author":"williams","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1029\/2003WR002148"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-014-0610-6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-014-0563-9"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"88","DOI":"10.3390\/w11010088","article-title":"Comparison of multiple linear regression, artificial neural network, extreme learning machine, and support vector machine in deriving operation rule of hydropower reservoir","volume":"11","author":"niu","year":"2019","journal-title":"WATER"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-012-0225-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.03.069"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-006-0322-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)WR.1943-5452.0000553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1029\/2006WR005792"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.06.045"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2017.12.038"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1287\/opre.3.2.187"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1029\/2008WR007024"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1029\/WR020i011p01499"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2009.06.008"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929196"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/en4071036"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-009-9488-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9496(1993)119:4(455)"},{"key":"ref40","first-page":"545","article-title":"Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting","author":"girard","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-014-0700-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-013-0353-9"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9496(1992)118:3(262)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2017.03.003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2014.04.012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-010-9707-8"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1061\/JYCEAJ.0001714","article-title":"Finding reservoir operating rules","volume":"93","author":"young","year":"1967","journal-title":"Journal of Hydraulic Division"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"303","DOI":"10.3390\/w10030303","article-title":"NN-based implicit stochastic optimization of multi-reservoir systems management","volume":"10","author":"sangiorgio","year":"2018","journal-title":"WATER"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-011-9851-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1623\/hysj.49.6.959.55728"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.07.066"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9496(2004)130:2(93)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-018-2105-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.01.013"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2010.07.011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1029\/WR021i012p01797"},{"key":"ref46","first-page":"409","article-title":"The nature of statistical learning theory","volume":"38","author":"vapnik","year":"2000","journal-title":"Technometrics"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2070(97)00044-7"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1029\/96WR03745"},{"key":"ref47","article-title":"Sequential minimal optimization: A fast algorithm for training support vector machines","author":"platt","year":"1998"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.06.062"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2015.08.009"},{"key":"ref44","author":"livingstone","year":"2008","journal-title":"Artificial Neural Networks Methods and Applications"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2014.01.062"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08878094.pdf?arnumber=8878094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T17:47:23Z","timestamp":1643305643000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8878094\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2948760","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}