CAJ | 학술논문

分析了供热系统负荷变化的各种扰量，提出利用人工神经网络对供热负荷进行预测的方法。对神经网络预测的可行性、方法的实施内容及输入输出变量的选择，网络连接方法的选择等进行了讨论。在进一步对供热负荷特性研究的基础上，可以利用人工神经网络对其进行切实可行的预测。
분석료공열계통부하변화적각충우량，제출이용인공신경망락대공열부하진행예측적방법。대신경망락예측적가행성、방법적실시내용급수입수출변량적선택，망락련접방법적선택등진행료토론。재진일보대공열부하특성연구적기출상，가이이용인공신경망락대기진행절실가행적예측。
One of importance for heating systems is to predict the hourlyload changes of heating systems. This paper, with the consideration of China heating system development and the use of heating load meter, analyses the different kinds of interruptions for heating load, introduces the Artificial Neural Network (ANN) to make up the load prediction. This paper also discuses the possibility of the use of ANN in heating system, how to choose the input and output of ANN model, and concludes that with the further research of heating load, the ANN can be the efficient way to predict the heating load.