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Artificial intelligence techniques in smart grid: A survey
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …
type data about the electric power grid operations, by integrating advanced metering …
Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …
enhance the way generation, transmission, and distribution networks interrelate. It involves …
An ensemble machine learning approach through effective feature extraction to classify fake news
There are numerous channels available such as social media, blogs, websites, etc., through
which people can easily access the news. It is due to the availability of these platforms that …
which people can easily access the news. It is due to the availability of these platforms that …
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 …
Cyber security for detecting distributed denial of service attacks in agriculture 4.0: Deep learning model
Attackers are increasingly targeting Internet of Things (IoT) networks, which connect
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …
industrial devices to the Internet. To construct network intrusion detection systems (NIDSs) …
Review of smart meter data analytics: Applications, methodologies, and challenges
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Distributed control and communication strategies in networked microgrids
Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …
distributed energy resources (DERs) and enhancing the system performance in terms of …
Deep autoencoder-based anomaly detection of electricity theft cyberattacks in smart grids
Designing an electricity theft cyberattack detector for the advanced metering infrastructures
(AMIs) is challenging due to the limited availability of electricity theft datasets (ie, malicious …
(AMIs) is challenging due to the limited availability of electricity theft datasets (ie, malicious …
[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 …
Significant permission identification for machine-learning-based android malware detection
The alarming growth rate of malicious apps has become a serious issue that sets back the
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …