Computer generating method for short-term load forecasting in summer in power consumer electricity-utilization information acquisition system

Abstract

The invention relates to a computer data processing method, in particular to a method for restoring computer data of a power consumer electricity-utilization information acquisition system. The main points of the method are that: the method comprises the steps of: (1), pre-processing a history electricity-utilization load and a temperature data, (2), building models related to summer temperature and a power load, wherein m and n are parameters and v is a residual set,(3), calculating coefficients rho related to the summer temperature and the load, (4), considering dependence of the data to be predicted corresponding to numerical values in the last week according to the summer temperature data and relevance of the summer temperature data and the load, and obtaining a final load prediction value. The invention provides a short-term prediction method for electricity-utilization load in summer with high accuracy and strong practicability.

Description

technical field [0001] The invention relates to a computer data processing method, in particular to a computer generation method for summer short-term load forecasting in a power user information collection system. Background technique [0002] In the power system, the electricity consumption information collection system for power users is an important technical platform for implementing orderly power consumption management, and provides important technical support for ensuring that power rationing does not stop in the process of implementing orderly power consumption management. Power load forecasting is a newly developed and important function in the electricity consumption information collection system of power users, which provides an important basis for the formulation and implementation of orderly power consumption schemes. Accurate load forecasting can rationally formulate an orderly power consumption plan, optimize the allocation of power resources in response to th...

AI Technical Summary

Problems solved by technology

[0003] Short-term load forecasting, especially summer short-term load forecasting, is currently mainly for power system dispatching and planning departments to arrange power purchase plans and formulate operation modes, and adopts the user-based load forecasting method, which mainly focuses on the research of algorithms and the application of forecasting However, due to the complexity of the established model, the calculation process has affected the actual application, and there is also the problem of low prediction accuracy

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