机构地区: 武汉科技大学
出 处: 《制冷空调与电力机械》 2011年第4期49-51,共3页
摘 要: 提出一种改进的多元线性回归空调负荷预测模型,在对空调负荷进行初始线性预测后,把实际测量值和预测值的差值作为一个新的增加量,作用到下次的多元线性回归预测中。在通过数据处理后,得到了比单纯的非线性回归预测方法更高的精度,说明这种预测方法是有效的。 Presented an improved multiple linear regression model,after the initial linear prediction of the air conditioning load,the difference between the predicted value and the actual measured value as a new increase in the amount of effect to the next multiple linear regression prediction.After the adoption of data processing,had been more accurate than a simple linear regression prediction method,that this prediction method was effective