Electrical load prediction method and system based on big data

Abstract

The invention provides an electrical load prediction method and system based on big data. The method comprises the steps of acquiring weather forecast data of an electrical region based on predictiontime; and substituting the prediction time, the electrical region and the weather forecast data into a pre-established prediction training model to obtain a historical prediction electrical load within the period of prediction time, wherein the prediction training model is determined by a training characteristic dataset of the electrical load, the time and the weather data based on a GBDT (Gradient Boosting Decision Tree). According to the electrical load prediction method and system based on the big data, an operation of writing intermediate data into a memory is implemented through the big data, the computational efficiency is greatly improved for the system for implementing the effect that the data are processed in real time, and the problems that the historical mass electrical load data cannot be rapidly acquired, processed, analyzed and stored in a conventional method can be well remedied through a big data analysis technology.

Description

Technical field: [0001] The invention belongs to the field of big data calculation and analysis in the electric power industry, and in particular relates to a method and system for predicting electricity load based on big data. Background technique: [0002] Power forecasting is a very important part of today's power industry, and the level of power system load forecasting is also one of the symbols to measure the modernization of power system management. With the deepening of the reform of the electricity market, the power companies as the main body of the electricity market must base themselves on the electricity market, and all their economic activities must focus on economic benefits, and take in-depth research on the supply and demand situation and development of the electricity market as a company business activity. The basics. Therefore, doing a good job in power load forecasting is a necessary tool to accurately grasp the pulse of the market and analyze future power...

AI Technical Summary

Problems solved by technology

On the one hand, this challenge puts forward high requirements for data storage and backup, and on the other hand, it brings higher requirements for computer performance in terms of the speed and efficiency of processing and computing these big data

Moreover, traditional methods can only effectively process small amounts of data. For the processing and analysis of large-scale data, in addition to being affected in terms of efficiency, the accuracy of prediction may also be greatly reduced.

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