基于BP神经网络的工业用户能效评估

Energy Efficiency Evaluation of Industrial Users Based on BP Neural Network

为了弥补现有工业用户能效评估模型及算法存在的不足,按照相关标准规范并兼顾实际可操作性,构建了工业用户能效评估指标体系,建立起基于BP神经网络的工业用户能效评估模型。通过25组数据完成了BP神经网络的训练,获得了达到设定误差的BP神经网络,最后运用5组测试数据验证了该模型的可靠性。测试结果表明:测试数据通过BP神经网络模型得到的评分和采用其它评估方法得到的评分基本吻合,选取的评价指标具有有效性,该评估模型能够有效的对工业用户的能效水平进行评估。

In order to make up for the existing problems of energy efficiency evaluation models and algorithms for industrial users,in accordance with relevant standards and norms and taking into account the practical operability,this paper builds energy efficiency assessment of industrial users index system and establishes an energy efficiency evaluation model for industrial users based on BP neural network. The training of BP neural network is completed through 25 sets of data,and the BP neural network which achieved the set error is obtained. Finally,the reliability of the model is verified by using 5 sets of test data. The test results show that the score obtained by the BP neural network model is nearly the same with the score obtained by the other evaluation methods,and the evaluation index selected in paper is valid. This evaluation model can effectively evaluate the level of energy efficiency of industrial users.