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提出一种水电站长期优化调度的神经元网络方法。
This paper presents a neural networks learning algorithm in long term optimization of hydropower station.
在水库长期优化调度问题中,一般以发电量最大为优化调度模型。
Traditionally referring to the long-term hydro optimal dispatching method, maximizing the power generation is the basic optimization model.
本文研究一种混联水电站水库群中长期优化调度的多维动态规划模型的求解方法。
In this paper a resolving method of multivariate dynamic programming model to mid and long term optimum operation for large scale hydropower system is studied.
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