Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …

Smart homes are equipped with easy-to-interact interfaces, providing a more comfortable
living environment and less energy consumption. There are currently satisfactory …

The Internet of Things (IoT) has changed the worldwide network of people, smart devices,
intelligent things, data, and information as an emergent technology. IoT development is still …

Non-intrusive load monitoring (NILM) has been extensively researched over the last decade.
The objective of NILM is to identify the power consumption of individual appliances and to …

Real-world data sets are crucial to develop and test signal processing and machine learning
algorithms to solve energy-related problems. Their scope and data resolution is, however …

Photovoltaic installations can be environmentally beneficial to a greater or lesser extent,
depending on the conditions. If the energy produced is not used, it is redirected to the grid …

Smart grids evolution is ram** up in the global energy scenario by offering deregulated
markets, demand-side management, prosumer culture, demand response, contingency …

Activity recognition represents the cornerstone in realizing intelligent services such as
energy conservation and ambient assisted living in smart environments. The problem …

Internet of Things (IOT) has provided an opportunity to build powerful industrial system and
applications by leveraging the growing ubiquity of RFID, wireless, mobile and sensor …

In order to provide useful energy saving recommendations, energy management systems
need a deep insight in the context of energy consumption. Getting those insights is rather …