We develop a scalable, computationally efficient method for the task of energy disaggregation for home appliance monitoring. In this problem the goal is to estimate the energy consumption of each appliance over time based on the total energy-consumption signal of a household. The current state of the art is to model the problem as inference in factorial HMMs, and use quadratic programming to fi...

By developing strategic configurations which describe commonly used paths to competitive advantage for manufacturers, this paper reconciles some basic concepts from competitive strategy and manufacturing strategy. Four basic strategic configurations are identified: niche diflerentiator, broad differentiator, cost leader, and lean competitor. The configurations are traced conceptually through co...

Home Energy Management System (HEMS), which makes the residential consumers, contribute to the demand response is attracting attention in recent years. An aim of HEMS is to minimize their electricity cost by controlling the use of their appliances according to electricity price. The use of appliances in HEMS may be affected by some conditions such as external temperature and electricity price. ...

In this paper, we investigate whether “big-data” is more valuable than “precise” data for the problem of energy disaggregation: the process of breaking down aggregate energy usage on a per-appliance basis. Existing techniques for disaggregation rely on energy metering at a resolution of 1 minute or higher, but most power meters today only provide a reading once per month, and at most once every...

E-tree is an in-home Energy Consumption Display (ECD), which the user can use as both stationary and portable device. We explored E-tree to help the user understand their energy consumption at the home. Project phase two included three goals. First, we implemented a wireless measurement device, which uses an Infrastructure Mediated Sensing (IMS) system attached to the home power breaker. E-tree...