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电力系统负荷预测是电力系统发电计划的重要组成部分,也是电力系统经济运行的基础。本文在应用GM（1,1）模型的基础上,建立了两种应用残差对预测数据进修正的模型。实例表明本文提出的方法较传统GM（1,1）模型有更高的精度。 相似文献
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GD Fletcher 《Molecular physics》2013,111(23-24):2971-2976
A scalable multi-configuration self-consistent field (MCSCF) algorithm is described. The method for optimizing the orbital and configurational parameters is based upon the two-step Newton–Raphson approach with an augmented orbital Hessian matrix. A single copy of the two-electron integrals in the molecular orbital basis is distributed over the memory of all processors. Storage of the augmented Hessian is avoided by re-computing its elements as needed. A replicated data approach is used to parallelize the configuration interaction step. Scalability to 1024 processors is demonstrated. 相似文献
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