首页|Studies from King Mongkut’s University of Technology Thonburi (KMUTT) Further Understanding of Machine Learning (Quantifying the Benefits of Pv Module Shading for Building Heat Gain Reduction: a Machine Learning Approach)
Studies from King Mongkut’s University of Technology Thonburi (KMUTT) Further Understanding of Machine Learning (Quantifying the Benefits of Pv Module Shading for Building Heat Gain Reduction: a Machine Learning Approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Bangkok, Thailand, by NewsRx correspondents, research stated, “This study investigatesthe indirect benefit due to the shading effect from PV rooftop systems installed on building envelopes byproposing a new method based on a machine-learning algorithm. The study gathered a year of data froma 25 kWp PV rooftop system installed on a metal sheet roofing.”
BangkokThailandAsiaCyborgsEmerging TechnologiesMachine LearningKing Mongkut’s University of Technology Thonburi (KMUTT)
NETL
NSTL
