A data-driven system for city-scale personal energy footprint estimations: poster abstract

Abstract

Energy footprinting has the potential to raise awareness of energy consumption and lead to energy saving behavior. However, current methods for estimating energy consumption cannot provide fine enough temporal or spatial granularity for a reasonable personal energy footprint estimate. In this work, we present a data-driven system design for estimating personal energy footprint in the city in real-time, even in built environments that do not have existing or accessible energy data or population data.