The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …

Non-intrusive load decomposition (NILD) technology has a broad application prospect
because it can deeply excavate the internal electricity consumption data of customers and …

Leveraging large historical data in electronic health record (EHR), we developed Doctor AI,
a generic predictive model that covers observed medical conditions and medication uses …

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 …

Understanding how appliances in a house consume power is important when making
intelligent and informed decisions about conserving energy. Appliances can turn ON and …

Non-intrusive load monitoring, or energy disaggregation, aims to separate household
energy consumption data collected from a single point of measurement into appliance-level …

With the large-scale roll-out of smart metering worldwide, there is a growing need to account
for the individual contribution of appliances to the load demand. In this paper, we design a …

Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …