As global temperatures continue to rise, questions about infrastructure capacity to keep up with energy demand are increasingly germane. Energy demand is mediated by several structural and environmental conditions, though we have a limited understanding about the role of differences in local ambient temperatures as a predictor for energy demand. This study assesses the effects of residential building structure, socio-demographics, and ambient temperature conditions of a neighborhood to overall energy expenditures of a household.
Background: Compared to previous neuropsychological investigations with standard paper-pen tests limited to test complex spatial learning and memory processes, 3-D virtual immersive technology might offer new tools for research purposes and for diagnosis in patients suffering from mild cognitive impairment or dementia. Comparison with existing methods: Current software proposes a customizable VR environment combined with an analyser module based on regions of interest and some parameters of analysis or pre-calibrated VR mazes with raw data.