System and method for predicting electricity consumption based on edge calculation

Abstract

The invention provides a power consumption prediction method and device based on edge calculation, computer equipment and a storage medium, and belongs to the technical field of power consumption prediction. The method comprises the steps that an edge manager receives an electricity consumption prediction trigger and sends an electricity consumption data collection instruction; the edge manager sends an auxiliary information acquisition instruction to the cloud server; collecting power utilization data and uploading the power utilization data to edge data management; the edge data management creates electric quantity prediction information to the edge controller; the cloud server obtains auxiliary information from the external information; the edge data management is used for processing the auxiliary information; a communication channel is established between the edge controller and the edge node; the edge controller sends a notification message by using the communication channel, wherein the notification message is used for indicating the change of the data; the edge node generates an error correction model according to the auxiliary information, and generates an accurate electric quantity prediction model in combination with the basic power utilization model; according to the method, the accuracy of electric quantity prediction can be improved.

Description

technical field [0001] The invention belongs to the technical field of electricity consumption prediction, and in particular relates to a system and method for predicting electricity consumption based on edge computing. Background technique [0002] The power system involves major links such as power generation, transmission, distribution, and dispatch management. Electricity consumption forecasting is an important part of power system dispatch. Accurately predicting power consumption can reasonably implement power planning and energy allocation, and improve power supply efficiency. [0003] There are many existing electricity consumption forecasting methods, including electricity elasticity coefficient method, electricity output benefit method, regression analysis method, monthly proportional method, etc. There are also some methods such as regression model forecasting and time series forecasting. There are usually some problems with the method, such as data need to be pre...

AI Technical Summary

Problems solved by technology

[0004] For the electricity consumption data collected by the terminal, it generally appears as periodic data with certain fluctuations. Data from different sources are periodic and have different statistical characteristics. Electricity consumption prediction needs to consider the consumption of these different sources. The different statistical characteristics of electricity data, while capturing periodicity, also reflects its volatility, which brings challenges to the task of electricity forecasting

[0005] In addition, power consumption forecasting is usually set on the cloud platform, but as the amount of terminal data increases, all these data are uploaded to the cloud for processing and forecasting, which will lead to extended time and reduced processing efficiency; the process of power consumption forecasting There is a lot of information to be processed, and it is difficult for existing methods to handle the information transmission between units

Images