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An energy efficiency evaluation method of intelligent building based on fuzzy clustering algorithm

Author

Listed:
  • Shuai Wang
  • Lei Sun
  • Xinjie Yuan

Abstract

Aiming at the problems of low evaluation accuracy and long evaluation time in the traditional energy-saving evaluation methods of smart buildings, an energy-saving evaluation method of smart buildings based on fuzzy clustering algorithm is proposed. Firstly, according to the construction criteria of the evaluation index system, establish the energy-saving evaluation index system of smart buildings, obtain the evaluation indexes, then use the grey correlation theory to determine the weight of the energy-saving evaluation index of smart buildings, and measure the energy consumption of smart buildings separately. Finally, establish the fuzzy similarity matrix, and cluster with the network method in the direct clustering method to obtain the optimal clustering scheme and evaluate the energy-saving of smart buildings. The simulation results show that the accuracy of the proposed method is 100% and the evaluation time is within 7 s. The evaluation effect of the proposed method is good and the evaluation efficiency is high.

Suggested Citation

  • Shuai Wang & Lei Sun & Xinjie Yuan, 2023. "An energy efficiency evaluation method of intelligent building based on fuzzy clustering algorithm," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 45(4/5), pages 421-435.
    • Handle: RePEc:ids:ijgeni:v:45:y:2023:i:4/5:p:421-435
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