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ENERGY DEMAND PREDICTION SYSTEM, ENERGY DEMAND PREDICTION METHOD, AND ENERGY MANAGEMENT SYSTEM

机译:能源需求预测系统,能源需求预测方法和能源管理系统

摘要

PROBLEM TO BE SOLVED: To execute an energy demand prediction that can grasp a variable trend of an energy demand value between a vacation data and an operation day, and give consideration to the grapes variable trend.;SOLUTION: A energy demand prediction system calculates a conversion factor that can convert an energy demand value between a class of day of the week and a class of the other day of the week in each of a plurality of classes of days of the week constructed by one or more days of the week, generates learning data offsetting an energy demand difference in the classes of days of the week by performing a conversion processing by the conversion factor to model construction data as past results data of the energy demand difference in a first period, constructs a demand prediction model expressing a periodical characteristics of the learning data, forms prediction data offsetting the energy demand difference in the classes of day of the week as a reference of the class of day of the week including a prediction day by performing the conversion processing by the conversion factor to the past results data of the energy demand difference in a second period, and obtains the prediction value of the energy demand by applying the prediction data to the demand prediction model.;SELECTED DRAWING: Figure 5;COPYRIGHT: (C)2017,JPO&INPIT
机译:解决的问题:执行能量需求预测,该能量需求预测可以把握假期数据和工作日之间的能量需求值的变化趋势,并考虑葡萄的变化趋势。解决方案:能量需求预测系统计算出一个生成转换因子,该转换因子可以在一周中的某天和一周中的另一天中的某几日中的某几日中的某几日中,将一周中的某几天或某天的某几日中的某几日转换为一个学习数据,通过执行转换因子对转换数据进行补偿处理,以抵消一周中几天的能源需求差异,以模拟建筑数据作为第一时期能源需求差异的过去结果数据,构建表示周期的需求预测模型学习数据的特征,形成预测数据,以抵消一周中各天的能源需求差异,作为一周中某天的参考通过在第二时段中通过转换因子对能量需求差的过去结果数据执行转换处理来在包括预测日的一周中,并且通过将预测数据应用于需求预测模型来获得能量需求的预测值。 ;选定的图纸:图5;版权:(C)2017,JPO&INPIT

著录项

  • 公开/公告号JP2017175845A

    专利类型

  • 公开/公告日2017-09-28

    原文格式PDF

  • 申请/专利权人 MITSUBISHI HEAVY IND LTD;

    申请/专利号JP20160061792

  • 发明设计人 KOBAYASHI YUTAKA;

    申请日2016-03-25

  • 分类号H02J3/00;

  • 国家 JP

  • 入库时间 2022-08-21 14:00:20

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