A review of preserving privacy in data collected from buildings with differential privacy

Significant amounts of data are collected in buildings. While these have great potential for maximizing the energy efficiency buildings general, only a small portion accessible to researchers, government, and industry analyses. Concerns about privacy one major barriers prohibiting access data. Privacy preservation techniques generally applied this problem not preserve underlying but also improve usefulness Among various preserving techniques, differential has become more popular solutions since its introduction 2006. Differential is mathematical measure protecting so that one's cannot be incurred by participating database. Although significant research improvements been made than decade, applying still an immature field study. Because implementing on certain use case straightforward can achieved with configurations, it important understand variation configurations different cases around from This literature review aims introduce what done implement buildings, discuss associated challenges future opportunities.