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dc.contributor.authorZhu, Zhihua
dc.contributor.authorLi, Haoran
dc.contributor.authorTan, Zuowen
dc.contributor.authorWang, Zhaocai
dc.date.accessioned2026-08-20T21:06:52Z
dc.date.available2026-08-20T21:06:52Z
dc.date.copyright2026/05/06
dc.date.issued2026
dc.identifier.otherJWRMD5.WRENG-7236.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313971
dc.description.abstractAbstractAs a core approach to optimizing water resource system management, multiobjective optimal operation of cascade reservoirs fundamentally addresses the engineering control problem of balancing multidimensional benefits under complex constraints. ...Practical ApplicationsThis study proposes a hybrid framework integrating deep learning and enhanced heuristic algorithms for cascade reservoir scheduling. The developed model optimizes power generation, output stability, and ecological flows, providing ...
dc.publisherAmerican Society of Civil Engineers
dc.titleMultiobjective Optimal Scheduling of Cascade Reservoirs with Interval Inflow Considered: Hybrid Framework Integrating Deep Learning Forecasting and Enhanced Heuristic Algorithms
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue7
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/JWRMD5.WRENG-7236
dc.journal.fristpage04026016-1
dc.journal.lastpage04026016-14
dc.page14
dc.treeJournal of Water Resources Planning and Management:;2026:;Volume ( 152 ):;issue: 007
dc.contenttypeFulltext


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