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 …

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 …

Energy forecasting is important because it enables infrastructure planning and power
dispatching while reducing power outages and equipment failures. It is well-known that …

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 …

Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered
significant attention in recent years. The application of artificial intelligence, particularly deep …

Abstract Internet of Vehicles (IoVs) consists of smart vehicles, Autonomous Vehicles (AVs)
as well as roadside units (RSUs) that communicate wirelessly to provide enhanced …

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 …

Machine learning (ML) sees an increasing prevalence of being used in the Internet of Things
(IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be …

In smart power grids, electricity theft causes huge economic losses to electrical utility
companies. Machine learning (ML), especially deep neural network (DNN) models hold …

The smart grid advanced metering infrastructure (AMI) is vulnerable to electricity theft cyber-
attacks in which malicious smart meters report low readings to reduce the consumers' bills …