Energy consumption equation construction method and device and energy consumption prediction method and device

Abstract

The invention relates to an energy consumption equation construction method and apparatus, a computer device and a storage medium. The method comprises the steps of obtaining an energy consumption variable, the energy consumption prediction target precision and energy consumption prediction sample data in an application scene; constructing an initial energy consumption equation according to the energy consumption variable and the energy consumption prediction target precision; adjusting equation coefficients of the initial energy consumption equations by adopting a genetic algorithm, and obtaining equation coefficients corresponding to the initial energy consumption equations when respective equation adaptive values are minimum according to the energy consumption prediction sample data; and substituting the obtained equation coefficient into the initial energy consumption equation to obtain a target energy consumption equation with the minimum equation adaptive value. In the whole process, the target energy consumption equation is accurately constructed by adopting the genetic algorithm based on the variable corresponding to the current application scene, and the energy consumptioncan be simply and accurately predicted directly through the accurately constructed target energy consumption equation in the subsequent energy consumption prediction process. In addition, the invention further provides an energy consumption prediction method and device, computer equipment and a storage medium.

Description

technical field [0001] The present application relates to the technical field of energy consumption prediction, in particular to an energy consumption equation construction method, device, computer equipment and storage medium, and an energy consumption prediction method, device, computer equipment and storage medium. Background technique [0002] With the increasingly serious energy crisis and environmental protection issues, energy conservation and emission reduction has become a focus of attention, and energy consumption prediction is a key technical point of energy conservation and emission reduction. Therefore, energy consumption prediction has attracted the attention and research of many scholars. [0003] At present, energy consumption prediction has been applied in many fields. Taking energy consumption prediction in public buildings as an example, public buildings consume a relatively high level of energy in buildings, accounting for more than 25% of the total energ...

AI Technical Summary

Problems solved by technology

[0004] Traditional energy consumption prediction methods are mainly based on artificial neural network models, support vector machine models, decision tree models, and hybrid models. Although these traditional energy consumption prediction methods can achieve energy consumption prediction to a certain extent, they are not suitable for complex related situations, such as Multiple conditions are related at the same time, which will bring a large amount of calculation, and the calculation and implementation process is complicated

Images