Campus Load Profiles from Enhanced Smart Meter Data

Abstract

Emerging appliance technology deployed by more and more energy-aware citizens requires an in-depth analysis of the actual/real load profiles for residential consumers. While the smart metering roll-out makes this analysis possible, especially when using the new generation smart meters with enhanced functionalities and high reporting rates, its necessity is highlighted by the different, asynchronous and sometimes unpredictable consumer behavior especially when dealing with young educated adults. In this context, a correlation-based analysis of consumer behavior and its impact on voltage levels is proposed in this paper. High reporting rate smart meters installed in a student campus are used as pilot for this study.