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Apparatus and method for optimum control of air conditioner using artificial neural network

机译:利用人工神经网络对空调进行最佳控制的装置和方法

摘要

The present invention relates to an apparatus and a method for optimum control of an air conditioner using an artificial neural network. An objective of the present invention is to save energy and determine the operation time of an air conditioner at which a pleasant environment inside a building can be maintained. The apparatus and the method for optimum control of an air conditioner using an artificial neural network extract a first temperature change pattern from air conditioner operation cycle off time to next air conditioner on time as a load pattern model based on an artificial neural network, extract a second temperature change pattern at a prescribed time from the temperature of the next air conditioner on time based on the extracted first temperature change pattern as an air conditioner pattern model based on an artificial neural network, and apply the first temperature change pattern and the second temperature change pattern to determine the operation time of the air conditioner as a simulation model to reach a specific target temperature at a specific target time.
机译:用人工神经网络对空调进行最佳控制的装置和方法技术领域本发明涉及一种使用人工神经网络对空调进行最佳控制的装置和方法。本发明的目的是节省能量并确定空调机的运行时间,在该时间下可以保持建筑物内部的舒适环境。使用人工神经网络对空调进行最佳控制的装置和方法,作为基于人工神经网络的负荷模式模型,从空调运行周期关闭时间到下一台空调开启时间中提取第一温度变化模式,基于提取的第一温度变化模式从下一台空调的温度开始按规定时间的第二温度变化模式作为基于人工神经网络的空调模式模型,并应用第一温度变化模式和第二温度更改模式,以确定空调的运行时间作为模拟模型,以在特定目标时间达到特定目标温度。

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