Research on Energy Saving Technology of Electromechanical Equipment in Buildings Based on Artificial Neural Network

  • Chen Yu

Abstract

Based on the mechanical and electrical equipment in the construction project, this paper analyzes the energy consumption problem, and proposes a building energy-saving prediction method based on BP neural network, which accurately predicts the change law of the thermal environment of the building at a small cost. The research results show that the building energy saving prediction method based on BP neural network only needs to install fewer temperature sensors to accurately predict the building temperature and thermal power in a large area of the building, which greatly saves costs and the estimated error It is low and has good accuracy. It can really bring people a good sense of comfort while reducing its own energy consumption as much as possible to achieve energy optimization management.

Published
2020-02-29
How to Cite
Chen Yu. (2020). Research on Energy Saving Technology of Electromechanical Equipment in Buildings Based on Artificial Neural Network. Design Engineering, 630 - 637. https://doi.org/10.17762/de.vi.295
Section
Articles