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GENERATED HYDRAULIC POWER PREDICTION METHOD FOR RUN-OF- RIVER TYPE DAM AND NEURAL NETWORK THEREFOR

机译:河道式水坝发电水力预测方法及神经网络

摘要

PROBLEM TO BE SOLVED: To highly accurately predict the generated power of a run-of-river type dam. SOLUTION: In the power plant of the run-of-river type dam, since a water storage function for preventing the flood of a downstream area is not originally provided differently from a normal dam, flow rate prediction for flood prevention is not required to begin with. Thus, without tentatively predicting a flow rate, the generated power is directly predicted. That is, the output of a neural network is defined as power generator output (power generator output difference, in this example).
机译:要解决的问题:高度准确地预测河道式大坝的发电功率。解决方案:在河道式大坝的发电厂中,由于最初没有提供与正常大坝不同的蓄水功能来防止下游区域的洪水,因此无需开始进行防洪流量预测用。因此,无需临时预测流量,就可以直接预测发电功率。即,将神经网络的输出定义为发电机输出(在该示例中,发电机输出差)。

著录项

  • 公开/公告号JP2003030621A

    专利类型

  • 公开/公告日2003-01-31

    原文格式PDF

  • 申请/专利权人 FUJI ELECTRIC CO LTD;

    申请/专利号JP20010214113

  • 发明设计人 IIZAKA TATSUYA;

    申请日2001-07-13

  • 分类号G06N3/00;E02B9/00;G06F17/60;

  • 国家 JP

  • 入库时间 2022-08-22 00:13:06

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