Non-intrusive load monitoring (NILM) is a popular approach to estimate appliance-level
electricity consumption from aggregate consumption data of households. Assessing the …

Abstract The Internet of Things (IoT) has developed infrastructures and applications that
generate large amounts of data. These data are usually yielded as streams, characterized …

Saving energy in buildings is often hampered by the lack of detailed information about what
is using the energy, how much it is using, and how to automatically and remotely control …

In India, plug load devices in building sectors are consuming close to 40 percent of the total
electricity consumption. Though the share of plug load in building energy is increasing, very …

The monitoring of electrical and water fixtures in the home is being applied for a variety of"
smart home" applications, such as recognizing activities of daily living (ADLs) or conserving …

The electrical appliances identification problem is gaining a rapidly growing interest these
past few years due to the recent need of this information in the new smart grid configuration …

Privacy protection of time-series data, such as traces of household electricity usage reported
by smart meters, is of much practical importance. Solutions are available to improve data …

One of the key information pieces in improving energy efficiency of buildings is the
appliance level breakdown of energy consumption. Energy disaggregation is the process of …

Heating control is of particular importance, since heating accounts for the biggest amount of
total residential energy consumption. Smart heating strategies allow to reduce such energy …

Abstract Information and communication technology plays an important role in addressing
the world's energy problem. Networked digital electricity meters (so-called smart meters), for …