TadGAN-Based Daily Color Temperature Cycle Generation Corresponding to Irregular Changes of Natural Light


Abstract

Summary:

This paper proposes a method to generate a daily natural light color temperature cycle using TadGAN (Time Series Anomaly Detection Using Generative Adversarial Networks) even when the real-time color temperature is irregular due to changes in weather and atmospheric conditions.
Categories

Categories

  • Lighting Design Considerations: The paper discusses the development of a method for reproducing natural light color temperature beneficial to humans, which is relevant to lighting design considerations.
  • Well-being: The study mentions that the color temperature cycle dramatically affects the health of the occupants, which is relevant to the category of well-being.
Authors

Author(s)

ST Oh, DH Ga, JH Lim
Publication Date

Publication Year:

2022
Citations

Number of Citations:

1