Central air conditioning system energy consumption prediction method, device and computing equipment

Abstract

The embodiment of the invention relates to the technical field of infrastructure, and discloses a central air conditioning system energy consumption prediction method, a device and computing equipment. The method comprises the steps that historical influence factors related to the energy consumption of a central air conditioning system and corresponding historical energy consumption data are obtained; training is carried out on a neural network model according to the historical influence factors, corresponding predicted energy consumption data are output, and the neural network model is composed of an input layer, a hidden layer which comprises a full connection layer, a first standardization layer and an activation layer, and an output layer; model parameters of the neural network model are adjusted to enable an error between the predicted energy consumption data and the historical energy consumption data to meet preset precision, and the neural network model is output; and prediction is carried out on the energy consumption of the central air conditioning system by adopting the neural network model. Through the above mode, the training efficiency of the neural network model can be improved, and the prediction accuracy and generalization ability of the neural network model can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of infrastructure, and in particular to a method, device and computing device for energy consumption prediction of a central air-conditioning system. Background technique [0002] Air conditioners are common refrigeration equipment used in various industries. Taking a data center as an example, the air conditioning system provides servers with an environment of suitable temperature, humidity and cleanliness. However, as an auxiliary equipment of the data center, the energy consumption of the air conditioning system accounts for more than 30% of the total energy consumption, which has huge potential for energy saving. In order to adopt accurate and effective energy-saving optimization and adjustment of air-conditioning system, it is necessary to establish an accurate energy-consumption prediction model of air-conditioning system. Due to the complex structure of the air-conditioning sys...

AI Technical Summary

Problems solved by technology

The energy consumption prediction algorithm of the neural network model is gradually developed, but the conventional neural network model still has a large number of feature engineering, low model training efficiency, and poor generalization ability.

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