Due to its significant contribution to global energy usage and the associated greenhouse
gas emissions, existing building stock's energy efficiency must improve. Predictive building …

With the widespread proliferation of (miniaturized) sensing facilities and the massive growth
and popularity of the field of machine learning (ML) research, new frontiers in automated …

This paper aims to address two timely energy problems. First, significant low-cost energy
reductions can be made in the residential and commercial sectors, but these savings have …

Household smart meters that measure power consumption in real-time at fine granularities
are the foundation of a future smart electricity grid. However, the widespread deployment of …

This paper presents ElectriSense, a new solution for automatically detecting and classifying
the use of electronic devices in a home from a single point of sensing. ElectriSense relies on …

The promise of smart environments and the Internet of Things (IoT) relies on robust sensing
of diverse environmental facets. Traditional approaches rely on direct and distributed …

Capturing fine-grained hand activity could make computational experiences more powerful
and contextually aware. Indeed, philosopher Immanuel Kant argued," the hand is the visible …

Most everyday electrical and electromechanical objects emit small amounts of
electromagnetic (EM) noise during regular operation. When a user makes physical contact …

Weiser's landmark Scientific American article inspired many researchers to explore an
exciting socio-technical vision of a third generation of computing. At the 21st anniversary of …

Providing effective feedback on resource consumption in the home is a key challenge of
environmental conservation efforts. One promising approach for providing feedback about …