Load prediction method and device, computer equipment and storage medium

Abstract

The invention relates to a load prediction method and device, computer equipment and a storage medium. The load prediction method comprises the following steps that: computer equipment obtains load data of different transformer areas, performs clustering analysis on the load data to obtain a load data sequence corresponding to each clustering label, and inputs the load data sequence correspondingto each clustering label into a preset load prediction model to obtain a load prediction result. In the load prediction method, as the fluctuation range of the load data of different transformer areasis large, and the load data volume is large and the type is complex, the computer equipment acquires load data of different transformer areas and then carries out clustering analysis on the load dataand places the same type of data in the same load data sequence, so that the fluctuation range of the load data of the same sequence is reduced, and the prediction result of each load data sequence is more accurate when the load prediction is carried out on each load data sequence, and the accuracy of the total load prediction result is further improved.

Description

technical field [0001] The present application relates to the field of electric power technology, in particular to a load forecasting method, device, computer equipment and storage medium. Background technique [0002] Power consumption forecasting in the station area refers to the prediction of the electricity load, electricity consumption, and electricity load characteristics of the dedicated substation users, public substation users, and residential users. It is an important task for power dispatching, power consumption, and planning departments. One, improving the technical level of power consumption forecasting is conducive to power dispatch management, reasonable arrangement of power grid planning and construction, and improvement of economic and social benefits of the power system. [0003] Today, electricity consumption forecasting has become an important part of realizing intelligent power modernization management. In the prior art, the general way of forecasting p...

AI Technical Summary

Problems solved by technology

[0004] However, the empirical method has the problem of low prediction accuracy and is not enough to meet the needs of massive data mining

Images