Environmental and human data-driven model based on machine learning for prediction of human comfort

HIGHLIGHTS

• who: FUBING MAO and colleagues from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore , School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China have published the research: Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort, in the Journal: (JOURNAL)
• what: The authors propose a framework for collecting the data followed by investigating the relationship between the factors with the purpose of building a scalable comfort model. The model is set up based on input environmental data collected from physical sensor nodes and . . .
  

   

  

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