Load scheduling, battery energy storage control, and improving user comfort are critical
energy optimization problems in smart grid. However, system inputs like renewable energy …

Real-time monitoring and control are crucial for ensuring the resilient, coordinated, and
optimal operation of next-generation power systems, such as virtual power plants and …

The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

Renewable energy (RE) sources, such as wind, geothermal, bioenergy, and solar, have
gained interest in developed regions. The rapid expansion of the economies in the Middle …

Water is the most important resource of the Earth and is significantly utilized for agriculture,
urbanization, industry, and population. This increases the demand for water; meanwhile, the …

Solar energy is the most techno‐economically viable renewable source of energy and can
be effectively converted into electrical power by Photovoltaic (PV) systems. As partial …

Active filters based on multicellular inverters are an efficient, robust, and reliable means of
large-scale photovoltaic systems for the next generation of smart grids. This paper presents …

Over the past two decades, the integration and generation of photovoltaic power plants have
risen to a huge level. The reason is increased pollution, which tends to cause ozone …

Integrating solar power into smart grids is challenging because of the variable nature of
solar energy. This study focuses on implementing reinforcement learning (RL) using a Deep …

The high demand for generation and development in wind electrical power competitiveness
has gained significant popularity in wind energy and speed forecasting models. It is also an …