The Performance of Reinforcement Learning for Indoor Climate Control Devices according to the Level of Outdoor Air Particulate Matters
As people spend more than 90% of their time indoors, indoor environmental quality (IEQ) has become an important factor in maintaining a healthy space for the occupants. There are many indoor climate control devices for improving IEQ. However, it is difficult to maintain an appropriate IEQ with chang...
Main Authors: | Sun Ho Kim, Hyeun Jun Moon |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Buildings |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-5309/13/12/3062 |
Similar Items
-
Association of indoor and outdoor particulate level with chronic respiratory illness /
by: 365921 Xu, Xiping, et al. -
School children’s exposure to indoor fine particulate matter
by: Nathan Cooper, et al.
Published: (2020-01-01) -
Relationship between Indoor and Outdoor Particulate Matter Concentrations in Japan
by: Satoshi Nakai, et al.
Published: (2008-06-01) -
Using Real Time Measurements to Derive the Indoor and Outdoor Contributions of Submicron Particulate Species and Trace Gases
by: Evdokia Stratigou, et al.
Published: (2022-03-01) -
Dynamic of Particulate Matter for Quotidian Aerosol Sources in Indoor Air
by: Mostafa Yuness Abdelfatah Mostafa, et al.
Published: (2021-12-01)