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 …

Precise electric load forecasting at different time horizons is an essential aspect for electricity
producers and consumers who participate in energy markets in order to maximize their …

Increased integration of renewable energy resources into the grid may create new difficulties
for ensuring a sustainable power grid which drives electric utilities to use a number of cost …

State estimation algorithms furnish an effective approach in monitoring and control of critical
infrastructures like smart grid in real-time. Recently, false data injection attack (FDIA) has …

The load frequency control (LFC) system, a critical component maintaining frequency
stability in the smart grid, is vulnerable to invisible false data injection attacks (FDIAs). These …

The increasing focus on cyber-physical security in Smart Grids (SGs) has catalyzed a surge
in research over recent years. This paper comprehensively reviews SG cyber-physical …

An accurate state estimation (SE) considering increased uncertainty by the high penetration
of renewable energy systems (RESs) is more and more important to enhance situational …

Smart Grid (SG) research and development has drawn much attention from academia,
industry and government due to the great impact it will have on society, economics and the …

The rapid development in the modern power sector has led to the large-scale inclusion of
renewables and electric vehicles. State estimation (SE) algorithms in the control centre …

The expansion of power systems over large geographical areas renders centralized
processing inefficient. Therefore, the distributed operation is increasingly adopted. This work …