Power Grids

In a significant advancement for the energy sector, researchers have developed a new method for processing and storing data from large-scale power grids, which could revolutionize how utilities manage their vast amounts of information. Led by Liu Cha

The electric vehicle (EV) landscape has seen significant transformation over the last decade, with a notable shift towards sustainable transportation solutions. A recent review published in ‘IEEE Access’ sheds light on the multifaceted nature of this

The rise of the Internet of Things (IoT) has transformed various sectors, particularly in energy, where secure and reliable monitoring is crucial for operations like smart grid utilities. However, one of the significant hurdles these advanced power g

A recent study published in the journal “Science and Technology for Energy Transition” has shed light on the life-cycle carbon emissions of electricity systems in East Africa, specifically focusing on Kenya, Rwanda, and Tanzania. Conducted by Chambil

A recent study published in ‘IEEE Access’ sheds light on the potential of federated learning (FL) to enhance intrusion detection systems (IDSs) for the rapidly expanding Internet of Things (IoT) landscape. The research, led by Shuroog S. Alsaleh from

As the demand for renewable energy sources continues to surge in China, the stability of the power grid has become a critical concern. A recent study led by Xiaoling Yuan from the College of Artificial Intelligence and Automation at Hohai University

A recent study led by Anila Kousar from the Department of Electrical Engineering at Mirpur University of Science and Technology (MUST) has made significant strides in enhancing the security of smart grid networks through innovative machine learning t

A recent study led by Zheng Cheng from the School of Economics and Management at Leshan Normal University in China has introduced a novel approach to managing electricity consumption in smart homes. Published in ‘IEEE Access,’ this research focuses o

As the energy landscape continues to evolve, the integration of renewable energy sources into power grids is becoming increasingly vital. A recent study published in ‘IET Generation, Transmission & Distribution’ explores the challenges and solutions

Researchers have made significant strides in understanding the life cycles of stars through a novel approach that leverages advanced machine learning techniques. Led by Marc Hon from the Kavli Institute for Astrophysics and Space Research at MIT, the