The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

The smart grid is a product of the advances in computer and communication technology and
power electronics that creates a more resilient, reliable and one that supports a two-way flow …

Using smart grids has become crucial for achieving efficient and sustainable energy
management. One of the main challenges in smart grids is optimizing energy efficiency by …

With the increased load demand and generation cost of electricity, renewable energy
sources (RES) provide cost effective and environment-friendly solution. Integration of solar …

The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …

Demand Side Management (DSM) is a cost-effective approach to managing electricity
networks, aimed at reducing capacity requirements and costs, increasing the penetration of …

The rapid growth of electricity demand in Iraq has consistently outstripped the country's
electricity infrastructure, leading to frequent blackouts, especially during peak summer …

Distributed generation connected with AC, DC, or hybrid loads and energy storage systems
is known as a microgrid. Campus microgrids are an important load type. A university campus …

This review explores the relationship between urban energy planning and smart city
evolution, addressing three primary questions: How has research on smart cities and urban …

The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …