| 基于神经网络的供热计量系统热负荷短期预测 |
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| 引用本文： | 郝有志,李德英,郝斌. 基于神经网络的供热计量系统热负荷短期预测[J]. 暖通空调, 2003, 33(6): 105-107 |
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| 作者姓名： | 郝有志 李德英 郝斌 |
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| 作者单位： | 北京建筑工程学院 |
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| 摘 要： | 针对实行热计量后热负荷变化的特点，采用神经网络中应用最广泛的BP网络对热负荷进行预测，利用MATLAB仿真程序对所建立的人工神经网络负荷预测模型进行验证，仿真误差为6．93％，满足工程需要。
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| 关 键 词： | 热计量 热负荷预测 人工神经网络 BP网络 |
| 修稿时间： | 2002-09-20 |
Short-term heat load prediction for heating metering systems based on neural networks |
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| By Hao Youzhi,Li Deying and Hao Bin Beijing Institute of Civil Engineering and Architecture,Beijing,China. Short-term heat load prediction for heating metering systems based on neural networks[J]. Journal Heating Ventilating and Airconditioning, 2003, 33(6): 105-107 |
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| Authors: | By Hao Youzhi Li Deying Hao Bin Beijing Institute of Civil Engineering Architecture Beijing China |
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| Abstract: | According to the varying characteristics of heat load after implementing of heating metering, uses the BP network in the artificial neural network (ANN) to predict heat loads of a heating system. Applies MATLAB simulation program to verify the ANN loads predicting model. The error is 6.93% which meets the needs of the actual projects. |
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| Keywords: | heat metering heating load prediction ANN BP network |
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