In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …

Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …

Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Metering data from the advanced metering infrastructure can be used to find abnormal
electricity behavior for the detection of electricity theft, which causes huge financial losses to …

The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …

For accommodating rapidly increasing power demands, power systems are transitioning
from analog systems to systems with increasing digital control and communications …

Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …

Electricity theft has been a major issue for many years. Distribution System Operators
(DSOs) have been trying to detect electricity theft, however the phenomenon insists, while …

Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …