System model for predicting short-term power load based on gradient boost algorithm

Abstract

At present, a large amount of electric energy cannot be stored, so that power generation and power utilization must be balanced in a power system, and otherwise, great waste will be caused. Meanwhile,due to the time lag of the power system, the power load cannot change along with changes of variables such as the operation mode of the power system and electricity consumption of users, the balancebetween power supply and electricity consumption of the power system is difficult to maintain, and therefore accurate prediction of the power load is particularly important. The invention puts forwarda system model for predicting a short-term power load based on a gradient boost algorithm, relates to the technical field of power system operation management, and mainly solves the problem of powerload prediction. According to the method, the future short-term power load is predicted through historical weather data and historical load data by using a gradient boost model, so that the safety andstability of the power system are improved, the power generation cost is reduced, and power supply and power utilization of the power system are balanced.

Description

technical field [0001] The present invention relates to a power system operation management technology, in particular to a method for predicting short-term power load based on a gradient boosting algorithm (Gradient Boosting). Background technique [0002] As we all know, at present, electric energy cannot be stored in a large amount. In the power system, power generation and power consumption must be balanced, otherwise it will cause a lot of waste; at the same time, due to the time lag of the power system, the power load cannot follow its own The operation mode, the user's power consumption and other variables change, and it is difficult to maintain the power supply and power consumption balance of the power system. Therefore, predicting the future load changes of the power system and taking necessary adjustment measures in advance are of great significance for maintaining the balance of the power system, improving the quality of power supply, and promoting social developm...

AI Technical Summary

Problems solved by technology

[0002] As we all know, at present, electric energy cannot be stored in a large amount. In the power system, power generation and power consumption must be balanced, otherwise it will cause a lot of waste; at the same time, due to the time lag of the power system, the power load cannot follow its own The operation mode, the user's power consumption and other variables change, and it is difficult to maintain the power supply and power consumption balance of the power system

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