Research On Power Supply Analysis And Forecasting Method Based On Large Data Platform

At present,due to the continuous development of the power industry,power supply enterprise management of the previous power system requirements have been greatly improved.At the same time,power industry managers will encounter more and more decision-making issues.Therefore,based on large data platform application of power supply analysis and forecasting system,will be to support enterprise decision analysis and improve enterprise management important work.On the other hand,in the current economic environment,the electricity data as an objective measure of the economic situation can be an important indicator,has been the government departments attach great importance.In particular,the calculation and analysis of electricity in various sectors can assist the government in predicting the economic situation and further make economic decisions.Therefore,based on large data platform application power supply analysis and forecast is imperative.However,based on the large data platform application of the power supply analysis and forecasting system has been predicted by the prediction accuracy is not high,each method has its own limitations,so the forecast results are not satisfactory,thus improving the accuracy of prediction has always been the direction of people to study.In order to more accurately predict the target annual electricity consumption,this paper will focus on the future measurement of electricity consumption in Foshan City,based on the study of the model and the traditional single load forecasting model,indicating that the predictive model in this paper can be used to obtain more accurate predictions.In this paper,based on the large data platform for electricity consumption analysis and forecasting system for a detailed analysis and introduction,and analyzes the function of predicting the future electricity consumption based on the historical electricity data.Then,the historical data of Foshan power grid are statistically analyzed,and the time series decomposition method is used to reveal the inherent law of load sequence,in the regularity analysis,this method is applied to analyze and summarize the variation rule of load time series,the use of scientific and reasonable methods for data processing,in order to find the objective of the actual consumption of electricity law,to guide the power grid planning research provides a theoretical basis.In order to improve the innovation and prediction accuracy of the electricity consumption forecasting method,this paper fully excavates and uses the information of the load history data,based on the analysis of the load sequence,a bidirectional prediction model is constructed,using the model to deal with the historical data,the target year to calculate the monthly electricity consumption.In addition,this paper presents a multi-variable model based on the power supply forecasting method of Foshan Power Supply Bureau,carries on the comprehensive analysis to the plurality of factors influencing the power development of Foshan power supply bureau,establishes the electric quantity forecasting model taking the effect Improve the accuracy of the forecast results.Finally,taking the Foshan regional power grid as an example,using the collected historical data to verify the established prediction model to prove that the proposed method is effective and feasible,therefore,it is of great significance to study the future energy consumption forecasting method of Foshan City and improve the accuracy of power forecasting results.