胡珊珊,张乐平,王吉.基于多层感知机的多维条件下电能表准确度预测模型[J].电测与仪表,2018,55(16):125-131. Hu Shanshan,Zhang Leping,Wang Ji.Power meter accuracy forecast model within multidimensional conditions by multi-layer perceptions[J].Electrical Measurement & Instrumentation,2018,55(16):125-131.
基于多层感知机的多维条件下电能表准确度预测模型
Power meter accuracy forecast model within multidimensional conditions by multi-layer perceptions
The verification of energy meter is carried out in labs where the experimental conditions are controlled. However, there are many differences between the actual operation environment and the laboratory environment of energy meter. At present, the research of how to carry out the verification of energy meter in multi-dimensional disturbance environment and value traceability is very limited. In recent years, with the progress in the field of AI and machine learning, a new effective way was provided to develop measurement work in multi-dimensional environment. Firstly, this paper analyzes the factors which affect the accuracy of the energy meter in actual operating environment, and discusses the feasibility of using multi-layer perceptions model to predict the accuracy of energy meter. Next, a prediction model of energy meter accuracy based on multi-layer perceptions neural network algorithm is proposed, using a supervised study to complete the training process. Finally, an energy meter accuracy data is used in simulation experiment to verify and validity the model, filling the gaps in the relevant areas of the domestic.