Research On Forecast And Evaluation Model Of Construction Effect Of Electric Power Internet Of Things

The construction of the power Internet of Things revolves around the various links of power system generation,transmission,transformation,distribution,and use.Its construction effectiveness is affected by many factors.The evaluation of the effectiveness of the power Internet of Things construction requires comprehensive benefits to achieve organic unity.Traditional evaluation methods are difficult to achieve timely adjustments to the current construction.Therefore,in-depth research is carried out on the construction of the power Internet of Things,a sound and reasonable evaluation index system,and clear evaluation standards and evaluation methods are established to roll out the effectiveness of the power Internet of Things construction Local prediction and evaluation can promote the maximum benefit of power Internet of Things construction,which has important practical significance.This paper constructs a prediction and evaluation model for the construction of the power Internet of Things,which is to train based on historical indicator data at the beginning of each cycle,and calculate the predicted value of the current cycle by constructing an intelligent algorithm prediction model.After the actual value is obtained at the end of the cycle,respectively Substitute the real value and predicted value into the power Internet of Things construction effectiveness evaluation model,compare the evaluation results,analyze the reasons for the difference between the real and predicted results,and provide control and decision support for the subsequent construction of the power Internet of Things,and start the next cycle At the same time,the real data of this period is added to the training database for rolling prediction and evaluation.In order to complete the prediction and evaluation model of the construction effect of the power Internet of Things,this paper firstly uses the literature method to sort out the current situation of the power Internet of Things construction,briefly introduces the concept and related theories of the power Internet of Things,and lays a theoretical foundation for the subsequent establishment of the prediction and evaluation model.Subsequently,by combining the genetic algorithm with the BP neural network,a data prediction model for the construction of the power Internet of Things based on the genetically optimized BP neural network was constructed,and the accuracy and stability of the results of the prediction model were verified through the power Internet of Things related data examples.The follow-up evaluation laid the data foundation.Then combined with the current status of the power Internet of Things construction and its ecosystem system,the four factors of the power grid,generators,users and society in the construction of the power Internet of Things are analyzed and an index system is established.At the same time,it is based on the cloud model-TOPSIS combined weighting method.,Constructed the effectiveness evaluation model of power Internet of Things.Finally,the feasibility and practicability of this prediction and evaluation model are verified by an example of power Internet of Things construction.This model improves the real-time performance and accuracy through the evaluation and comparison of the actual results of each cycle and the rolling forecast results,and can more effectively manage the construction of the power Internet of Things,and promote the better and faster development of the power grid industry.At the same time,based on the analysis of the evaluation results of the construction of the power Internet of Things,this article also proposes targeted construction measures on the grid side,the generator side,the user side,and the social side.It has a certain reference value for improving the effectiveness of the power Internet of Things construction.