Inexact Multistage Stochastic Quadratic Programming Method for Planning Water Resources Systems under Uncertainty
作者： Y.P. Li , G.H. Huang
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摘要: An inexact multistage stochastic quadratic programming (IMQP) method was developed for supporting water resources management under uncertainty. The IMQP improves upon the existing and approaches, can directly tackle uncertainties presented as interval numbers probability distributions within a context. Moreover, it accommodate real-time dynamics of system based on complete set scenarios; also deal with non-linearities in objective function to reflect effects marginal utility benefits costs. Because penalties are exercised recourse against any infeasibility, support analysis various policy scenarios that associated different levels economic consequences when promised water-allocation targets violated. applied planning Heshui River Basin, China. results us...
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