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cooling load prediction 空调负荷预测
The traditional way is difficult to predict cooling load to a nicety and celerity. 传统方式难于实现准确、快速地预测空调系统动态负荷。
Internet-based ANN solution for air conditioning load prediction. 基于互联网的神经网络空调负荷预测解决方案。
At the low system cooling load, PFM saved 63.83% total power consumption of multiple centrifugal chiller system. 在系统低负载时，相比于平均负载法甚至能节省多达63.;83%25之耗电量。
The method uses ANN based bus load prediction for the prediction step in the DSE. 该方法针对预测涉及数据存储设备（DSE），使用基于人工神经网络的母线负荷预测。
The cooling load of air-conditioning system is a nonlinear model with dynamic and indeterminacy. 摘要空调系统负荷是一个典型的具有动态性、不确定性等随机特性的非线性模型。
An SVM model and back-propagation (BP) neural network model are both used for the hourly air conditioning load prediction of an office building in summer months in Guangzhou area. 对广州地区某办公楼夏季不同月份的逐时空调负荷，分别用SVM模型和BP神经网络模型进行了训练和预测。
In this paper a nonsteady heat flux equation for car body is established and the formulationof transmission function coeficient of the cooling load is derived. 为了自动调节和控制客车室内温度,结合客车车身非稳定传热的特点,提出了一种计算客车空调动态制冷负荷的方法。
The simulation results show that the SVM model shows better accuracy and generalization ability, and is effective for building air conditioning load prediction. 仿真结果表明，SVM模型具有更高的预测精度和更好的泛化能力，是建筑物空调负荷预测的一种有效方法。
The technology of the large-size LiBr absorption refrigeration is already very perfect, but the cooling load all are big and is not fitful for a situation of a small cooling load. 目前国内外的大型吸收式制冷装置技术已相当完善，但因制冷量均很大，不适合小冷量场合使用。
For a multifactor power load prediction problem and typical training sample selection, a new method for Short-Term Load Forecasting (STLF) based on data mining is put forward. 针对电力负荷受到多因素的影响以及典型训练样本选择问题,提出了一种基于数据挖掘技术的新型短期负荷预测方法。
Application of EBP artifical neural network to predict cooling load EBP神经网络在空调负荷预测中的应用
The pertinence of actualizing the measures is particular, which requires the status of remaining heating and cooling load, building utility, meteorological data, etc. should synthetically be taken into consideration. 但节能技术措施的实施具有较强的针对性，需要综合无余热负荷（冷负荷）、建筑功能、气象参数等多方面的因素进行综合考虑。
For a multifactor power load prediction problem, this paper attempts to propose anew method for Short-Term Load Forecasting (STLF), by combining rough set and artificialneural network. 针对电力系统多因素负荷预测问题的复杂性,融合粗糙集方法与遗传神经网络各自优势,提出一种新型的短期负荷预测方法。
Based on the previous research, theoretically analyses the influence of combinations of air changes and cooling load in an isolation ward and the adjacent buffer room on isolation effects when the temperature difference is considered. 摘要从理论上分析了考虑温差影响下，隔离病房和缓冲室的换气次数与房间冷负荷的匹配情况对两室一缓工况下隔离效果的影响。
For example, high frequency lighting good reflecting luminaries and infrared controls can save money because fewer fittings are required and less heat is produced, leading to a reduced cooling load. 举例来说，高频灯、强反射的光源和红外线控制可以节约资金，因为这些措施减少了设备的需要量和减少了热的产生（就导致冷负荷的减少）。
In order to research the influence of the occupants on the cooling load of the system, this paper calculates the cooling load gained from the occupants for some styles of buildings. 为了探究空调区人员对空调系统冷负荷的影响程度，对几种建筑类型的人员冷负荷进行了计算。
This creates a microclimate which surrounds the building, creating inhabitable outdoor spaces while reducing cooling loads within. 这样的处理在建筑的周围形成了小气候，提供了适合居住的室外空间。
Air conditioning in coal mines involves more complicated cooling load calculation,mope frequent variation in system configuration and higher investment than that of ground buildings. 矿井空调具有负荷计算复杂、系统变动大、投资高等特殊性。