摘要
家用空调器在家用电器中的能源消耗占比很高,实现家用空调器高效运行对家用电器行业节能非常重要。本文通过收集实验数据,训练概率神经网络模型,实现概率神经网络模型对家用空调器实际能效的预估,并控制家用空调器工作在期望的高能效状态,实现家用空调器运行节能目的。实验结果表明,经过训练后的概率神经网络模型可以比较准确地估计出空调器实际运行能效,并控制空调器工作于高效节能状态。
The household air conditioners have a high proportion of energy consumption in household appliances, and it is very important for the household appliance industry to realize efficient operation of the household air conditioners. In this paper, the experimental data are collected, and trained the probabilistic neural network model, realized the prediction of probabilistic neural network model for the actual efficiency of the household air conditioners, and controls the air conditioners working in the expectation of high efficiency, achieves the purpose of energy-saving. The experimental results show that the trained probabilistic neural network model can estimate the actual energy efficiency of the air conditioner accurately and controls the operation of the air conditioner working in the state of high efficiency and energy saving.
出处
《家电科技》
2017年第12期60-63,共4页
Journal of Appliance Science & Technology
关键词
概率神经网络
家用空调器
高效运行
Probabilistie neural network
Household air conditioner
Efficient operation
