Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …

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 …

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 …

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 …

Consumer systems for home energy management can provide significant energy saving.
Such systems may be based on nonintrusive appliance load monitoring (NIALM), in which …

Energy disaggregation is the task of taking a whole-home energy signal and separating it
into its component appliances. Studies have shown that having device-level energy …

Since the inception of non-intrusive appliance load monitoring (NILM), extensive research
has focused on identifying an effective set of features that allows to form a unique appliance …

Providing detailed appliance level energy consumption information may lead consumers to
understand their usage behavior and encourage them to optimize the energy usage. Non …

Classification problems and their corresponding solving approaches constitute one of the
fields of machine learning. The application of classification schemes in Renewable Energy …