Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Forecasting renewable energy efficiency significantly impacts system management and
operation because more precise forecasts mean reduced risk and improved stability and …

Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

Recently, the integration of renewable energy sources, specifically photovoltaic (PV)
systems, into power networks has grown in significance for sustainable energy generation …

Rural areas have increased directly with the growth of the world population. Although,
isolated rural areas do not have the energy infrastructure to supply essential services such …

Microgrids are power distribution systems that can operate either in a grid-connected
configuration or in an islanded manner, depending on the availability of decentralized power …

In the era of an energy revolution, grid decentralization has emerged as a viable solution to
meet the increasing global energy demand by incorporating renewables at the distributed …

In the innovative domain of sustainable and renewable energy, artificial intelligence
incorporation has appeared as a critical stimulant for improving productivity, cutting costs …

Increasing penetration of power electronic-based renewable energy generation resources,
decreasing total rotational inertia, and bidirectional power flow have changed the concept of …