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ELECTRIC POWER DEMAND PREDICTION SYSTEM, LEARNING DEVICE, AND ELECTRIC POWER DEMAND PREDICTION METHOD

机译:电力需求预测系统,学习装置以及电力需求预测方法

摘要

To provide an electric power demand prediction system capable of precisely predicting an electric power demand at a prediction target date even if an electric power demand pattern is changed temporarily.SOLUTION: An electric power demand prediction system includes: a model creation part for generating a plurality of learned models for predicting an electric power demand by executing machine learning by using learning data corresponding to mutually different periods in learning data in which actual electric power data as an actual result of an electric power demand are correlated with actual variation factor data as an actual result of a variation factor that can become a factor for varying the amount of electric power demand; a selection part for selecting one of the plurality of already learned models as a prediction model for predicting an electric power demand at a prediction target data according to the prediction target date as a target for predicting an electric power demand; and a prediction part for predicting an electric power demand at the prediction target date by using the prediction model.SELECTED DRAWING: Figure 2
机译:提供一种电力需求预测系统,即使电力需求模式暂时改变,该电力需求预测系统也能够在预测目标日期精确地预测电力需求。解决方案:电力需求预测系统包括:用于生成多个模型的模型创建部分通过使用学习数据来执行机器学习来预测电力需求的模型,该学习数据使用学习数据中与彼此不同的时间段相对应的学习数据,其中作为电力需求实际结果的实际电力数据与作为实际电力需求的实际变化因子数据相关变化因素的结果,该变化因素可以成为改变电力需求量的因素;选择部分,用于选择多个已经学习的模型中的一个作为预测模型,以根据作为预测电力需求的目标的预测目标日期在预测目标数据处预测电力需求;图2是通过预测模型预测目标日期的电力需求的预测部分。

著录项

  • 公开/公告号JP2019204458A

    专利类型

  • 公开/公告日2019-11-28

    原文格式PDF

  • 申请/专利权人 SHIMIZU CORP;

    申请/专利号JP20180101023

  • 发明设计人 SUGIMOTO TAKAYUKI;SATO KAZUHIRO;

    申请日2018-05-25

  • 分类号G06Q50/06;G06Q10/04;

  • 国家 JP

  • 入库时间 2022-08-21 11:32:43

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