Client power load monitoring system

Abstract

The invention provides a client power load monitoring system. The client power load monitoring system comprises a prediction model, a data processing module, a support vector machine model and a parameter optimization module; the data processing module is used for receiving and processing preset information and sending processed result data to the support vector machine model, wherein the training module is used for training a support vector machine model; the prediction model is used for processing the sample data according to multiple groups of input prediction sample data and a predetermined method so as to complete the construction of the prediction model, wherein the constructed prediction model has predetermined parameters; and inputting the predetermined parameters into the trained support vector machine model to obtain a short-term load prediction value. The system has the functions of automatically recording prediction parameters, presetting second-day optimal operation parameters and automatically predicting the second-day electrical load, has the function of a third-party interface, innovatively realizes the integration of load monitoring and optimal management of the power system, and provides an important basis for the optimal control of the power system.

Description

technical field [0001] The invention relates to the technical field of power load monitoring, in particular to a client power load monitoring system. Background technique [0002] With the advancement of science and technology, the continuous improvement of people's living standards, the continuous increase of residents' demand for electricity and the current limited power supply capacity have posed new challenges to grid operators, industrial enterprises and residents who provide electricity. It is imperative to use electricity in an efficient and sustainable way, and it is necessary to develop an intelligent electricity service system to solve the above problems. [0003] With the construction of a smart power service system, a large number of smart power services such as centralized meter reading, bill payment and electricity sales, electric vehicle charging and discharging, distributed power management, demand response, and energy efficiency evaluation have emerged. Ther...

AI Technical Summary

Problems solved by technology

[0005] For customers, the use of electricity always pursues safety, reliability, and economy. However, at present, there are many types of early warnings and user management positions in the power management system at the user end, and the relationship between early warning releases is complicated, so that users will receive some early warning signals that are not within the scope of responsibility, causing users End resource waste, lack of effective load warning release measures

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