首页> 外国专利> Predicting System of Energy Consumption and Data of Air Conditioning Equipment Using Artificial Neural Network and Method Thereof

Predicting System of Energy Consumption and Data of Air Conditioning Equipment Using Artificial Neural Network and Method Thereof

机译:基于人工神经网络的空调设备能耗数据预测系统及其方法

摘要

Disclosed are a system and method for predicting energy consumption and data of an air conditioning facility using an artificial neural network. According to an embodiment of the present disclosure, a history data collection process of collecting history data from at least one of a BEMS, a BAS, and an air conditioning facility; a system input process of receiving an input from a user of a subsystem of an air conditioning system desired for prediction; a list providing process of providing a user with a list of input variables related to the subsystem; a variable input process of receiving an input variable selected by a user from a list of input variables; A neural network model derivation process of deriving a final neural network model by automatically normalizing historical data and automatically optimizing the structure of the neural network model based on input variables and preset values for a predetermined neural network model; and a predicted value derivation process of deriving at least one of an energy usage predicted value and a data predicted value of a subsystem by using the final neural network model.
机译:本发明公开了一种使用人工神经网络预测空调设备的能耗和数据的系统和方法。根据本发明的一个实施例,历史数据收集过程,从BEM、BAS和空调设施中的至少一个收集历史数据;系统输入处理,接收来自空调系统的子系统的用户的用于预测的输入;列表提供过程,向用户提供与子系统相关的输入变量列表;变量输入过程,接收用户从输入变量列表中选择的输入变量;神经网络模型推导过程,通过自动规范化历史数据并基于预定神经网络模型的输入变量和预设值自动优化神经网络模型的结构来推导最终的神经网络模型;以及预测值推导过程,通过使用最终的神经网络模型推导子系统的能量使用预测值和数据预测值中的至少一个。

著录项

  • 公开/公告号KR102369350B1

    专利类型

  • 公开/公告日2022-02-28

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200117382

  • 发明设计人 최원창;성남철;김지헌;

    申请日2020-09-14

  • 分类号F24F11/63;F24F11/46;F24F11/52;F24F110/10;F24F110/20;G06N3/04;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 23:50:41

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