Statistical Analysis for Equipment Usage in Electronic Classrooms using SAS Macro

Abstract

With modern industrialization and high technology, people tend to consume more and more energy. With world population increase very fast and living standard increasing rapidly, the challenge for energy saving is more and more demanding. We plan to start with a statistical analysis to one campus electronic devices usage to understand the pattern of the energy cost in classroom. We developed a SAS macro for people to use for similar research purpose. We wish with better understand of how people consume energy to eventually save significant amount of energy and have a better future. The technology and multimedia devices becoming ever more present in classroom environments from Elementary Schools to Universities, understanding which devices and how often they are used is needed.  We are using data collected from Crestron Room View machines in sixty eight multimedia classrooms to develop time series models. Having the statistical models of classroom technology/multimedia will aid IT Professionals, Administrators, and Teachers by allowing for more efficient classroom design and device selections. It provides one direction to help people to conduct big data or machine learning analysis for energy saving, usage effective and environmental protection purpose.