首页> 外国专利> DEEP LEARNING BASED METHOD FOR ESTIMATING MULTI-OUTPUT VALUE OF POWER PLANT AND SYSTEM FOR PERMOING THE SAME

DEEP LEARNING BASED METHOD FOR ESTIMATING MULTI-OUTPUT VALUE OF POWER PLANT AND SYSTEM FOR PERMOING THE SAME

机译:基于深入的学习方法,用于估算电厂和系统的多输出价值

摘要

Embodiments may include: receiving sensor data from at least a portion of a sensor installed in a power plant; and applying the received sensor data to a pre-trained predictive model to obtain a predicted output value of the power plant at a specific time, wherein the predictive model calculates the power generation amount of the power plant at a plurality of times including the specific time. It relates to a method for predicting multiple output values of a power plant at a plurality of time points, characterized in that each is configured to output, and a system for performing the same.
机译:实施例可以包括:从安装在发电厂中的至少一部分传感器的至少一部分接收传感器数据;并将接收的传感器数据应用于预先训练的预测模型,以在特定时间内获得电厂的预测输出值,其中预测模型在包括特定时间的多次中计算发电厂的发电量。它涉及一种用于在多个时间点预测发电厂的多个输出值的方法,其特征在于每个被配置为输出,以及用于执行该的系统。

著录项

  • 公开/公告号KR20210085316A

    专利类型

  • 公开/公告日2021-07-08

    原文格式PDF

  • 申请/专利权人 한국과학기술연구원;

    申请/专利号KR1020190178228

  • 发明设计人 김익재;최희승;임현기;최예지;

    申请日2019-12-30

  • 分类号G06Q50/08;G06N3/08;H02J3;

  • 国家 KR

  • 入库时间 2022-08-24 20:06:18

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