供热负荷 meaning in Chinese
heating demand
Examples
- State observer design for switched linear systems
基于小波和神经网络的供热负荷预测 - 1 the forecast model of the load of the heating system was put forward , parmeter of the model was recognized in genetic algorithm . on the basis of the result , the temperature of water supply was calculated and become target aim of burning system
针对集中供热系统的特点，设计了整个系统的运行控制方案。 1建立了供热负荷预测模型，采用遗传算法对模型的参数辨识，并以此来计算当天的供热温度，指导锅炉的自动控制。 - Developing the pm - rbf algorithm by using neural network which adapts to the prediction of the heat burden . by simulating experiment , the algorithm has favorable precision and speed of prediction , solving the prediction problem of the heating system and providing the basis for optimization and dispatching of the system
利用神经网络开发了适用于供热负荷预测的pm - rbf算法，通过仿真得出，该算法具有良好的预测精度和速度，能够较好地解决我市集中供热负荷的预测问题，并为系统的总体优化调度提供了基础。