Modeling human behavior for energy-usage prediction

Abstract

We propose a system that uses a set of mobile sensors to model human behavior of energy usage. This mobile sensor suite can be fit on a keychain or ID/access badge. Data from these sensors, e.g., temperature, visible light spectrum, and 60 Hz electromagnetic field, will be used to give real-time feedback of user's energy consumption and prediction of future energy usage. Feedback of energy consumption will be displayed in an understandable manner on a user interface, e.g., smart phone. A model developed from the available data using machine learning will inform the system about energy consumption patterns and behaviors of users. © 2011 Springer-Verlag.