With the advent of the era of big data, buildings have become not only energy-intensive but
also data-intensive. Data mining technologies have been widely utilized to release the …

The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …

With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing
them to obtain appliance-specific energy consumption statistics that can further be used to …

Building operations account for the largest proportion of energy use throughout the building
life cycle. The energy saving potential is considerable taking into account the existence of a …

The problem of estimating the electricity consumption of individual appliances in a building
from a limited number of voltage and/or current measurements in the distribution system has …

With ongoing large-scale smart energy metering deployments worldwide, disaggregation of
a household's total energy consumption down to individual appliances using analytical …

Measured and simulated data sources from the built environment are increasing rapidly. It is
becoming normal to analyze data from hundreds, or even thousands of buildings at once …

The last decade has seen a flurry of research on all-pairs-similarity-search (or similarity
joins) for text, DNA and a handful of other datatypes, and these systems have been applied …

Abstract Information on residential power consumption patterns disaggregated at the single-
appliance level is an essential requirement for energy utilities and managers to design …