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Latin hypercube sampling
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Water demand uncertainty in a water supply system (WSS) arises mainly due to the abnormal behaviors of water users and the change of network configuration when it is expanded to new consumers. In practice, this directly impacts the optimal designed WSS. This paper presents a methodology to address the issue of water demand uncertainty in the designing a WSS that combines the Latin Hypercube Sampling Technique (LHST) and a multiobjective algorithm optimization.
8p
vilarry
01-04-2024
6
1
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his fast forward selection algorithm is needed to cut down the number of samples while keeping most of the stochastic information embedded in such samples. The LHS-FFS-based P-LMP is investigated using IEEE 6-bus and 24-bus systems. This method is compared with SRS and LHS only. The LHS-FFS approach is found to be efficient and flexible; therefore, it has the potential to be applied in many power system probabilistic problems.
9p
spiritedaway36
28-11-2021
9
1
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In this paper, a proper orthogonal decomposition based reduced-order model is presented for parametrized multiphysics computations. Our application physics is Doppler feedback in a simplified model of the molten salt fast reactor concept.
9p
christabelhuynh
29-05-2020
3
0
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