Microgrids have recently emerged as a building block for smart grids combining distributed
renewable energy sources (RESs), energy storage devices, and load management …

The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

Data-driven condition monitoring reduces downtime of wind turbines and increases
reliability. Wind turbine operation and maintenance (O&M) cost is a significant factor that …

Probabilistic load forecasts provide comprehensive information about future load
uncertainties. In recent years, many methodologies and techniques have been proposed for …

Wind energy is a kind of sustainable energy with strong uncertainty. With a large amount of
wind power injected into the power grid, it will inevitably affect the security, stability and …

Addressing the rapidly growing penetration of renewable energy sources and the increasing
variations in loads has been a significant challenge in the planning and operation of modern …

Load forecasting is a crucial task, which is carried out by utility companies for sake of power
grids' successful planning, optimized operation and control, enhanced performance, and …

Wind energy has the inherent nature of intermittence and randomness, such that its accurate
prediction is extremely critical to ensure safe and stable operation of power system with …

The need to turn to more environmentally friendly sources of energy has led energy systems
to focus on renewable sources of energy. Wind power has been a widely used source of …