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地下水随机规划模型的Taylor展开解法 被引量:3
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作者 虎维岳 李竞生 李玉林 《西安工程学院学报》 1999年第2期67-70,共4页
讨论了将线性随机约束地下水规划模型转化为与之等价的确定性约束地下水规划模型的方法,并以地下水优化疏干规划模型为例,推导了转化后的非线性约束地下水管理模型的Taylor展开解法,并通过对一假设模型的计算分析,证实了该求... 讨论了将线性随机约束地下水规划模型转化为与之等价的确定性约束地下水规划模型的方法,并以地下水优化疏干规划模型为例,推导了转化后的非线性约束地下水管理模型的Taylor展开解法,并通过对一假设模型的计算分析,证实了该求解方法的有效性。 展开更多
关键词 地下水 随机规模模型 展开解法 地下水管理
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Two-stage stochastic approach for spinning reserve allocation in dynamic economic dispatch 被引量:1
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作者 杨明 张利 +1 位作者 韩学山 程凤璐 《Journal of Central South University》 SCIE EI CAS 2014年第2期577-586,共10页
A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decompose... A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decomposed algorithm based on Benders' decomposition.The model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,respectively.Test results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 min.The test results also illustrate that the proposed approach is efficient and suitable for large system calculation. 展开更多
关键词 power system dynamic economic dispatch spinning reserve response risk two-stage stochastic programming Benders' decomposition
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A New Latent Class Stochastic Frontier Model for the Best Practices ofUSA's Corporate Governance
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作者 Wided Khiari Yosra Mellouli 《Journal of Modern Accounting and Auditing》 2013年第5期719-727,共9页
In this paper, the authors study the association between firms' specific characteristics and performances for a sample of 320 American firms using a governance efficiency index, calculated by the stochastic frontier ... In this paper, the authors study the association between firms' specific characteristics and performances for a sample of 320 American firms using a governance efficiency index, calculated by the stochastic frontier analysis. The use of a latent class in the specification of the model, allowed detecting two groups of firms according to their specific characteristics: the firm size, the leverage, the dividend yield, and the return on equity (ROE). The results of affectation equation show that the probability to be in the second group (the most efficient) is more important when the firm size, the dividend yield, and the ROE are high, while a high leverage level decreases the chance to be in the first group (the less efficient). 展开更多
关键词 governance index managerial efficiency PERFORMANCE corporate governance mechanisms stochasticfrontier
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