Building energy consumption modeling method based on linear regression

Abstract

The invention relates to a building energy consumption modeling method based on linear regression. The method comprises the steps that historical data of all energy consumption units in a building is obtained; all the historical data is preprocessed; a regression model is built through classification data by applying linear regression analysis fitting; a future expected energy consumption value of an energy consumption part and a future expected total energy consumption value of the building are predicted according to an objective function. According to the building energy consumption modeling method, the consumption condition of building energy can be effectively predicted, by controlling the influence condition, the energy conservation and consumption reduction purposes are achieved.

Description

technical field [0001] The invention relates to the technical field of building energy consumption, in particular to a building energy consumption modeling method based on linear regression. Background technique [0002] Building energy consumption analysis is the basis for determining a reasonable energy-saving strategy, and it is one of the research hotspots in energy conservation and consumption reduction. Many scholars at home and abroad have conducted in-depth research on building energy consumption analysis and modeling methods. These studies are divided into two categories: the first category mainly takes building structures as the research object, and uses building energy consumption hourly simulation software to predict energy consumption in the architectural design stage. This type of prediction is quite different from the actual situation; the second type is mainly based on the existing buildings, collecting all the information of the building during the operation...

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Problems solved by technology

[0004] The present invention provides a building energy consumption modeling method based on linear regression, which solves or partially solves the problem that the description of energy consumption law in the prior art building energy consumption research method is not detailed enough to accurately predict building energy consumption It realizes the effective prediction of building energy consumption, and achieves the technical effect of energy saving and consumption reduction through the control of the influencing conditions.

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