Generating Generic Data Sets for Machine Learning Applications in Building Services Using Standardized Time Series Data

Erscheinungsort nicht ermittelbar] / The International Association for Automation and Robotics in Construction (I.A.A.R.C.) (2019) [Beitrag zu einem Tagungsband]

36th International Symposium on Automation and Robotics in Construction (ISARC 2019) / [conference co-chair: Mohamed Al-Hussein (University of Alberta, Canada), Ahmed Bouferguene (University of Alberta, Canada), Ying Hei Chui (University of Alberta, Canada), Rafiq Ahmad (University of Alberta, Canada), Dongping Fang (Tsinghua University, China) ; organizer: University of Alberta, Hole School of Construction Engineering, Department of Civil & Environmental Engineering ; organizing partners: International Association for Automation and Robotics in Construction (IAARC); University of Alberta, Canada; Modular Building Institute, USA; Edinburgh Napier University, Scotland; Washington State University, USA; University of Florida, USA; University of Northern British Columbia, Canada; Concordia University, Montreal, Canada; Harbin Institute of Technology, Chin]
Seite(n): 226-233