Load forecasting techniques and their applications in smart grids
The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …
Data privacy preservation and security in smart metering systems
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
Review of the data-driven methods for electricity fraud detection in smart metering systems
In smart grids, homes are equipped with smart meters (SMs) to monitor electricity
consumption and report fine-grained readings to electric utility companies for billing and …
consumption and report fine-grained readings to electric utility companies for billing and …
A survey on key management and authentication approaches in smart metering systems
The implementation of the smart grid (SG) and cyber-physical systems (CPS) greatly
enhances the safety, reliability, and efficiency of energy production and distribution. Smart …
enhances the safety, reliability, and efficiency of energy production and distribution. Smart …
Electricity theft detection using deep reinforcement learning in smart power grids
In smart power grids, smart meters (SMs) are deployed at the end side of customers to report
fine-grained power consumption readings periodically to the utility for energy management …
fine-grained power consumption readings periodically to the utility for energy management …
Privacy-preserving and efficient decentralized federated learning-based energy theft detector
Energy theft causes economic losses and power out-ages and disrupts energy generation
and distribution of smart grids. A significant challenge is how to effectively use customers' …
and distribution of smart grids. A significant challenge is how to effectively use customers' …
Improving Smart Grids Security: An active learning approach for smart grid-based energy theft detection
Energy providers and the power grid are severely harmed by electricity theft, which also
causes economic and non-technical losses. Energy theft causes a decline in power quality …
causes economic and non-technical losses. Energy theft causes a decline in power quality …
Countering evasion attacks for smart grid reinforcement learning-based detectors
Fraudulent customers in smart power grids employ cyber-attacks by manipulating their smart
meters and reporting false consumption readings to reduce their bills. To combat these …
meters and reporting false consumption readings to reduce their bills. To combat these …
Anomaly detection techniques in smart grid systems: A review
Smart grid data can be evaluated for anomaly detection in numerous fields, including cyber-
security, fault detection, electricity theft, etc. The strange anomalous behaviors may have …
security, fault detection, electricity theft, etc. The strange anomalous behaviors may have …
DRFD: deep learning-based real-time and fast detection of false readings in AMI
Smart meters, installed at customers' apartments, frequently send their power consumption
readings to the system operator in the advanced metering infrastructure (AMI) network …
readings to the system operator in the advanced metering infrastructure (AMI) network …