There is an opportunity for large energy users, such as university campuses, to play a more active role in the clean energy transition. The energy demand of a university campus is often equivalent to that of a small city. University campuses are comprised of mixed functionality buildings such as lecture, administration, laboratory, social functions, and residences whose usage and energy demands depend on many factors, including the academic calendar. Hence, universities have unique energy demand patterns that differ from standard residential or other non-residential load profiles. In this paper, we explore the creation of university campus electricity Reference Load Profiles for use in Energy Management, and Smart Campus or Smart City initiatives. We use real world data from a university Building Energy Management System, and demonstrate a replicable systematic computational framework.