Illumination modeling method for office lighting control by using RBFNN

Wa Si, Xun Pan, Harutoshi Ogai, Katsumi Hirai, Noriyoshi Yamauchi, Tansheng Li

研究成果: Article査読

5 被引用数 (Scopus)

抄録

This paper represents an illumination modeling method for lighting control which can model the illumination distribution inside office buildings. The algorithm uses data from the illumination sensors to train Radial Basis Function Neural Networks (RBFNN) which can be used to calculate 1) the illuminance contribution from each luminaire to different positions in the office 2) the natural illuminance distribution inside the office. This method can be used to provide detailed illumination contribution from both artificial and natural light sources for lighting control algorithms by using small amount of sensors. Simulations with DIALux are made to prove the feasibility and accuracy of the modeling method.

本文言語English
ページ(範囲)3192-3200
ページ数9
ジャーナルIEICE Transactions on Information and Systems
E97D
12
DOI
出版ステータスPublished - 2014 12 1

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

フィンガープリント 「Illumination modeling method for office lighting control by using RBFNN」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル