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[HTML][HTML] A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources
The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …
new era of a modernized network where the power generation, transmission, and …
A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities
Abstract Deployments of Cyber Physical Systems (CPSs) in smart cities are poised to
significantly improve healthcare, transportation services, utilities, safety, and environmental …
significantly improve healthcare, transportation services, utilities, safety, and environmental …
A survey on the detection algorithms for false data injection attacks in smart grids
Cyber-physical attacks are the main substantial threats facing the utilization and
development of the various smart grid technologies. Among these attacks, false data …
development of the various smart grid technologies. Among these attacks, false data …
Wide and deep convolutional neural networks for electricity-theft detection to secure smart grids
Electricity theft is harmful to power grids. Integrating information flows with energy flows,
smart grids can help to solve the problem of electricity theft owning to the availability of …
smart grids can help to solve the problem of electricity theft owning to the availability of …
[HTML][HTML] Electricity theft detection in smart grid systems: A CNN-LSTM based approach
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
Cyber security of a power grid: State-of-the-art
The integration of computing and communication capabilities with the power grid has led to
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Electricity theft detection in smart grids based on deep neural network
Electricity theft is a global problem that negatively affects both utility companies and
electricity users. It destabilizes the economic development of utility companies, causes …
electricity users. It destabilizes the economic development of utility companies, causes …
Decision tree and SVM-based data analytics for theft detection in smart grid
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 …
system industries for a long time. Large-scale consumption of electricity in a fraudulent …
Electricity theft detection in AMI using customers' consumption patterns
P Jokar, N Arianpoo, VCM Leung - IEEE Transactions on Smart …, 2015 - ieeexplore.ieee.org
As one of the key components of the smart grid, advanced metering infrastructure brings
many potential advantages such as load management and demand response. However …
many potential advantages such as load management and demand response. However …