Electricity market analyzing and predicting system and analyzing and predicting method thereof

Abstract

The invention discloses an electricity market analyzing and predicting system and an analyzing and predicting method thereof in the technical field of electricity. The system comprises a market analyzing module, a predicting scheme module, a market predicting module, a monitoring early warning module, a data mining module, an application platform and a system management auxiliary module. The method includes steps of determining key factors affecting analysis and prediction of an electricity market; determining main researched blocks and main technical routes of the electricity market analyzing and predicting system and forming a frame structure of the electricity market analyzing and predicting system; building a market analyzing and predicting model base; building a market researching platform based on multi-dimensional analysis and data mining; mounting a system server and realizing test run and debugging of the system; improving beautification of a system interface and system functions; and completing data butt jointing operation and realizing system interconnection in a power grid. Electricity market analyzing and predicting accuracy affected by multiple factors is improved.

Description

technical field [0001] The invention belongs to the field of electric power technology, and in particular relates to an electric power market analysis and prediction system and an analysis and prediction method thereof. Background technique [0002] The existing power market analysis and prediction has the following defects: [0003] (1) It is not possible to comprehensively process the analysis and forecast of the power market; [0004] (2) It cannot effectively combine with the actual situation to conduct specific analysis of specific issues, nor can it provide an efficient solution library to predict and analyze important indicators such as electricity sales, electricity consumption, and maximum and minimum loads in the electricity market; [0005] (3) The factors considered in the load forecasting are not comprehensive enough to ensure the accuracy of the load forecasting, and the data of relevant factors are not effectively integrated into the load forecasting section;...

AI Technical Summary

Problems solved by technology

[0003] (1) It is not possible to comprehensively process the analysis and forecast of the power market;

[0004] (2) It cannot effectively combine with the actual situation to conduct specific analysis of specific issues, nor can it provide an efficient solution library to predict and analyze important indicators such as electricity sales, electricity consumption, and maximum and minimum loads in the e

Images