Air conditioner cooling load prediction optimization method, system and equipment

Abstract

The invention discloses an air conditioner cooling load prediction optimization method, a system and equipment, and the method comprises the steps: obtaining the influence constituent element data of the air conditioner cooling load, and determining the main influence index data of the air conditioner cooling load; performing training optimization on the extreme learning machine network by adopting the main influence index data of the air conditioner cooling load; wherein in the training optimization process, a whale optimization algorithm is adopted to optimize weight parameters and threshold parameters of the extreme learning machine, and an optimized extreme learning machine is obtained; collecting main influence index data of the air conditioner cooling load, inputting the main influence index data into the optimized extreme learning machine, and outputting to obtain an air conditioner cooling load prediction optimization result. According to the method, the extreme learning machine is trained and optimized by adopting the main influence index data, so that the dimension of the input variable of the improved extreme learning machine is reduced, the convergence speed is improved, and the operation cost is saved; the whale optimization algorithm is combined with the extreme learning machine, the mean square error of air conditioner cooling load prediction of the extreme learning machine is reduced, and the prediction performance is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of air conditioning, and in particular relates to an air conditioning cooling load prediction and optimization method, system and equipment. Background technique [0002] In recent years, with the rise of urbanization and the rapid rise of building energy consumption, reducing building energy consumption plays a pivotal role in alleviating the pressure on the power grid; 30%-40% of the energy consumption; improving the energy utilization rate of air conditioners and reducing the waste of resources is an important part of responding to the development of green energy conservation; since the research on air conditioner cooling load forecast provides effective data support for optimizing the operation efficiency of air conditioners, the research The mechanism and laws of building energy consumption, it is of great practical significance to establish an accurate and effective air-conditioning cooling load foreca...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problems existing in the prior art, the present invention provides an air-conditioning cooling load forecasting optimization method, system and equipment to solve the existing air-conditioning load forecasting due to the input weight and hidden The stratum threshold is randomly generated, the generalization ability of the prediction model is poor, and the technical problems of unstable prediction results

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