Air conditioning energy saving method based on genetic algorithm and long and short term memory circulatory neural network

Abstract

The invention provides an air conditioning energy saving method based on a genetic algorithm and a long and short term memory circulatory neural network. The air conditioning energy saving method comprises the following steps that step1, an air conditioning energy consumption prediction and evaluation model is established; step2, optimization parameters are confirmed; step3, coding is performed onthe cooling water supply temperature and the cooling supply and return water temperature difference utilizing the genetic algorithm, and according to the coding, within a certain range, the cooling water supply temperature and the cooling supply and return water temperature difference are generated stochasticly to obtain an initial population composed of a plurality of chromosomes; step4, other parameters of the current working condition and chromosome parameters are decoded and input into an LSTM-RNN air conditioning prediction and evaluation model, chromosome evaluation is performed, a fitness function is calculated and crossover and mutation are performed on the better chromosomes, and the obtained optimal chromosomes are decoded as the optimal parameters; and step5, the optimal parameters are input into the prediction and evaluation model in combination with the other parameters under the current working condition to obtain optimized air conditioning power consumption. By means ofthe air conditioning energy saving method based on the genetic algorithm and the long and short term memory circulatory neural network, the prediction and evaluation accuracy rate is increased, and the good energy consumption optimizing effect is achieved.

Description

technical field [0001] The invention relates to an air conditioner energy-saving method based on a genetic algorithm and a long-short-term memory cycle neural network. Background technique [0002] In my country, the energy consumption of buildings is increasing year by year, accounting for about 40% of the global energy demand. At the same time, air conditioning and heating systems account for about half of the total energy consumption of buildings, and the proportion has been increasing in recent years. According to statistics, the compliance rate of energy conservation in public buildings in my country is less than 10%. Therefore, making certain adjustments to the air-conditioning system can maximize energy-saving potential. Modern buildings are usually combined with various technologies to achieve a certain degree of building energy efficiency. [0003] Building automation system (BAS) is a system that integrates technologies such as Internet of Things technology, con...

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Problems solved by technology

[0004] In order to overcome the shortcomings of the evaluation modeling and optimization steps of the existing air-conditioning energy consumption optimization methods, the present invention provides a relatively simple and effective air-conditioning energy-saving method based on genetic algorithm and long-term short-term memory cycle neural network

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