2024 Vol.7 Dec.N06

• Title: Optimization of energy consumption control algorithm of public green building life cycle based on improved genetic algorithm
• Name: Alison Katherine Williams
• Company: West Coast University，USA
• Abstract:

   Public green buildings are large energy users, and a large number of public green buildings in China have high energy consumption, which causes heavy energy burden to the society. Therefore, the optimization method of energy consumption control algorithm of public green buildings based on improved genetic algorithm is studied. The method establishes the energy consumption of public green building whole life cycle calculation model, through the model of the energy consumption of the whole life cycle, with the public green building life cycle energy consumption control algorithm target function, and introduce chaos factor for the defects of the improved genetic algorithm to optimize the public green building life cycle energy consumption control algorithm target function, get the energy consumption of public green building life cycle control results. Experiments show that the method of different life cycle of public green building energy consumption value is more accurate, at the same time can effectively control the public green building in different life cycle of energy consumption value, and the use of improved genetic algorithm optimization solving public green building life cycle energy consumption control target time-consuming ability is good, the application effect is more significant.

  
  

• Keyword: improving genetic algorithm; public green building; life cycle; energy consumption control; life life
• DOI: 10.12250/jpciams2024090701
• Citation form: Alison Katherine Williams.Optimization of energy consumption control algorithm of public green building life cycle based on improved genetic algorithm[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.1-9

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