Energy analysis is important for the choice of air-conditioner package, the energy consumption prediction and the energy saving for building air conditioning system.
对建筑空调系统进行能量分析有利于合理配置空调设备、预测空调总能耗、提出节能措施。
Energy consumption prediction is made by the use of radial basis function (RBF) neural network method, and energy consumption prediction model based on RBF neural network is established.
采用径向基函数(RBF)神经网络方法进行能源消费量预测，建立了基于RBF神经网络的能源消费量预测模型。
Combination model USES more information so that the prediction of it is more reliable, and it can serve as an effective tool for forecasting energy consumption of Chinese.
组合模型集结了更多的有用信息，使得预测结果更加可靠，可以作为中国“十二五”期间的能源消费量预测的有效工具，为能源决策提供更为可靠的依据及建议。
The research on Shanghai commercial building information database and the prediction model of the energy consumption of commercial buildings is elaborated briefly.
简要叙述上海市商用建筑信息数据库和商用建筑能耗预测工具的研究情况。
The reliability of prediction model for BF Procedure energy consumption is very high. It can be used to guide the energy saving in blast furnace process.
炼铁工序能耗预测模型的可靠性高，可用于指导高炉炼铁工序的节能降耗工作。
The reliability of prediction model for BF Procedure energy consumption is very high. It can be used to guide the energy saving in blast furnace process.
炼铁工序能耗预测模型的可靠性高，可用于指导高炉炼铁工序的节能降耗工作。
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