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    Diagnostic Checking in Stochastic Dynamic Programming 

    Source: Journal of Water Resources Planning and Management:;1993:;Volume ( 119 ):;issue: 004
    Author(s): Wen‐Cheng Huang; Chian Min Wu
    Publisher: American Society of Civil Engineers
    Abstract: A testing procedure to diagnose whether the stochastic dynamic programming (SDP) models for reservoir operations will converge is presented. Theoretically, the stability of SDP can be diagnosed by checking whether a ...
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    Testing Stochastic Dynamic Programming Models Conditioned on Observed or Forecasted Inflows 

    Source: Journal of Water Resources Planning and Management:;1991:;Volume ( 117 ):;issue: 001
    Author(s): Wen‐Cheng Huang; Ricardo Harboe; Janos J. Bogardi
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents and compares four types of stochastic dynamic programming (SDP) for on‐line reservoir operation, relying on observed or forecasted inflows. The models are different because of the assumptions regarding ...
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    Data Synthesis Based on Empirical Mode Decomposition 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 007
    Author(s): Wen-Cheng Huang; Tai-Yi Chu; Yi-Syuan Jhang; Jyun-Long Lee
    Publisher: ASCE
    Abstract: The purpose of this paper is to introduce an effective way to solve the problem of nonstationary data generation. Empirical mode decomposition (EMD) algorithms have been widely used in data diagnosis. A new EMD-based data ...
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