The explosive development of electrical engineering in the early 19th century marked the
birth of the 2nd industrial revolution, with the use of electrical energy in place of steam …

Many non-intrusive load monitoring (NILM) studies use high-frequency data to classify the
device's ON/OFF state. However, these approaches cannot be applied in real-world …

Identification and monitoring of residential appliances are important facets for home energy
management and essential for proper functioning of the connected devices. In this paper …

Nonintrusive load monitoring is a technology that can identify the users' internal energy
consumption by using the data measured at a single point on the bus and event detection is …

Monitoring electricity energy usage can help to reduce power consumption considerably.
Among load monitoring techniques, non-intrusive load monitoring (NILM) provides a cost …

Accurate identification of various loads for nonintrusive load monitoring (NILM) plays a
crucial role in a variety of power system applications and strategies. In this article, a novel …

Atmospheric electric field signal (AEFS) features can be characterized by their average
value (AV), standard deviation (SD), and entropy value (EV). How to mine and fully utilize …

In this article, we propose an interpretable incremental voltage–current representation
attention convolution neural network for the nonintrusive load monitoring (NILM) task. The …

Nonintrusive load monitoring (NILM) constitutes a significant function of the smart grid in the
future. The purpose is to ameliorate the consumption and supply of electricity by …

Non-intrusive load monitoring (NILM) has been on the rise for more than three decades. Its
main objective is non-intrusive load disaggregation into individual operating appliances …