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 …
Cyber threats to smart grids: Review, taxonomy, potential solutions, and future directions
Smart Grids (SGs) are governed by advanced computing, control technologies, and
networking infrastructure. However, compromised cybersecurity of the smart grid not only …
networking infrastructure. However, compromised cybersecurity of the smart grid not only …
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 …
Deep learning for cybersecurity in smart grids: Review and perspectives
Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered
significant attention in recent years. The application of artificial intelligence (AI), particularly …
significant attention in recent years. The application of artificial intelligence (AI), particularly …
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' …
Smart Grid Security: An Effective Hybrid CNN-Based Approach for Detecting Energy Theft Using Consumption Patterns
In Internet of Things-based smart grids, smart meters record and report a massive number of
power consumption data at certain intervals to the data center of the utility for load …
power consumption data at certain intervals to the data center of the utility for load …
RFE based feature selection and KNNOR based data balancing for electricity theft detection using BiLSTM-LogitBoost stacking ensemble model
Obtaining outstanding electricity theft detection (ETD) performance in the realm of advanced
metering infrastructure (AMI) and smart grids (SGs) is quite difficult due to various issues …
metering infrastructure (AMI) and smart grids (SGs) is quite difficult due to various issues …