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contributor authorZhu, Zhihua
contributor authorLi, Haoran
contributor authorTan, Zuowen
contributor authorWang, Zhaocai
date accessioned2026-08-20T21:06:52Z
date available2026-08-20T21:06:52Z
date copyright2026/05/06
date issued2026
identifier otherJWRMD5.WRENG-7236.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313971
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 ...
publisherAmerican Society of Civil Engineers
titleMultiobjective Optimal Scheduling of Cascade Reservoirs with Interval Inflow Considered: Hybrid Framework Integrating Deep Learning Forecasting and Enhanced Heuristic Algorithms
typeJournal Article
journal volume152
journal issue7
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/JWRMD5.WRENG-7236
journal fristpage04026016-1
journal lastpage04026016-14
page14
treeJournal of Water Resources Planning and Management:;2026:;Volume ( 152 ):;issue: 007
contenttypeFulltext


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