This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

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 …

Smart meters are key elements of a smart grid. These data from Smart Meters can help us
analyze energy consumption behaviour. The machine learning and deep learning …

The two-way flow of information and energy is an important feature of the Energy Internet.
Data analytics is a powerful tool in the information flow that aims to solve practical problems …

Nontechnical losses, particularly due to electrical theft, have been a major concern in power
system industries for a long time. Large-scale consumption of electricity in a fraudulent …

As one of the major factors of the nontechnical losses (NTLs) in distribution networks, the
electricity theft causes significant harm to power grids, which influences power supply quality …

Advanced metering infrastructure allows the two-way sharing of information between smart
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …

As a prominent early instance of the Internet of Things in the smart grid, the advanced
metering infrastructure (AMI) provides real-time information from smart meters to both grid …

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 …