Research on interior office comfort system combined with two factors
- Resource Type
- Conference
- Authors
- Zhang, Longqing; Zhang, Xinwei; Yang, Lei
- Source
- 2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA) Power, Electronics and Computer Applications (ICPECA), 2023 IEEE 3rd International Conference on. :1792-1795 Jan, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Analytical models
Temperature
Atmospheric modeling
Fitting
Neural networks
Humidity
Predictive models
Comfort Model
Machine Learning
- Language
In the office environment, the factors that affect human comfort are very complex. Scholars all over the world have done a lot of research on thermal comfort. Among them, the predicted mean voice (PMV) model stands among the most recognized thermal comfort models. Based on the investigation of the literature this paper analyzes the factors and research objects of human comfort in the office and determines several important factors affecting human comfort in the office. we use BP neural network algorithm to predict and verify the model by fitting the changing relationship between indoor environmental factors.