Shopping mall building air conditioner cooling load prediction method based on GBDT, storage medium and equipment

Abstract

The invention discloses a shopping mall building air conditioner cooling load prediction method based on GBDT, a storage medium and equipment, and the method comprises: collecting cooling load data, and carrying out the normalization processing to serve as the cooling load energy consumption prediction; establishing a load prediction model based on a gradient lifting decision tree algorithm; inputting the preprocessed data into a prediction model for training, selecting a grid search-cross validation mode, and optimizing the three hyper-parameters with the maximum influence on the performanceof the GBDT model; establishing a final cold load prediction model by completing parameter optimization of the prediction model, and obtaining a predicted cold load curve according to the parameters and the structure of the prediction model; and evaluating the prediction performance of the prediction model, adopting the prediction error for evaluation, enabling the deviation between the true valueand the prediction value to form the prediction error, and completing mall building air conditioner cooling load prediction. The method has good prediction precision, universality and applicability,and is especially suitable for large public buildings with periodically changing cold loads.

Description

technical field [0001] The invention belongs to the technical field of forecasting cooling load of air conditioners in shopping malls, and in particular relates to a method, storage medium and equipment for forecasting cooling loads of air conditioners in shopping malls based on a gradient boosting decision tree (GBDT). Background technique [0002] The proportion of building energy consumption in my country's energy consumption is getting higher and higher, rising from 10% in the late 1970s to 28% at present, and it is becoming the main source of consumption in my country's urban production and life. The total annual energy consumption of various types of large public buildings in my country is about twice that of similar buildings in developed countries. Therefore, how to control the growth of building energy consumption and realize the energy-saving design of new buildings while ensuring people's building use needs is of great significance. Accurate load forecasting is h...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a shopping mall building air-conditioning cooling load prediction method, storage medium and equipment based on the gradient boosting decision tree (GBDT) for the above-mentioned deficiencies in the prior art, which overcomes the limitations of the SVR model on working days, The disadvantage of low discrimination of cooling load distribution during holidays effectively solves the problem that the deep neural network needs a large amount of data training

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