The load disaggregation concept is gaining attention due to the increasing need for
optimized energy utilization and detailed characterization of electricity consumption profiles …

Load event matching is the key for event-based non-intrusive load monitoring (NILM). It aims
to find the load event sequence corresponding to the appliance's operation cycle from all …

Energy meters provide valuable information that can be used to determine important
features such as energy consumption of electrical devices and consumption habits in …

The proper pattern of electric energy management on the part of consumers is a key element
of the system enabling its effective use. This pattern can be developed by providing …

The electric power industry is an essential part of the energy industry as it strengthens the
monitoring and control management of household electricity for the construction of an …

This paper proposes a robust strategy to select the load identification features, which is
based on particle resampling to promote the performance for the successive load …

Electromagnetic interference (also known as EMI) is a byproduct of high-speed switching
circuits used inside most of present-day electrical and electronic appliances. EMI …

Electrical energy wastage is a major problem in residential areas in modern societies.
Energy production costs our environment a great deal and wasting such valuable assets will …

An interesting area of machine learning is methods for multi-view data, relational data
whose features have been partitioned. Multi-view learning exploits relationships between …

This dissertation explores the problem of energy estimation in supervised Non-Intrusive
Load Monitoring (NILM). NILM refers to a set of techniques used to estimate the electricity …