Economic Dispatch (ED) is a vital optimization problem in power systems, focused on minimizing generation cost while satisfying operational and environmental constraints. The increasing integration of renewable energy sources such as wind, solar, and hydro has made ED more complex due to intermittency, variability, and forecasting challenges, necessitating advanced optimization frameworks beyon...

The rapid expansion of high-performance computing (HPC), artificial intelligence (AI), and cloud-based services has significantly increased the energy demand of modern data centers. Among the key challenges in maintaining operational efficiency is managing excess heat from densely packed computing equipment. While liquid-cooling technologies offer superior thermal performance, they are often op...

Given the increasing reliance on natural gas as a primary energy source in Egypt and its pivotal role in supporting industrial production and electricity generation, understanding the relationship between natural gas consumption and economic growth is of great importance. This is particularly crucial in the context of energy policy formulation, sustainable development, and efficient resource al...

This paper presents the development and validation of a control algorithm for an Arduino-based EDS EV. The main goal of this system is to improve the speed and torque distribution between the wheels while maneuvering, focusing especially on cornering. The suggested algorithm regulates the throttle signal supplied to each wheel based on the steering angle, using a mathematical model derived from...

Energy performance is one of the building performance related to the multiple disciplines. It is somewhat distinguishable to the LEED of Green Building Certificate Institute. The LEED uses the model design, e.g., adopting optimal pattern and parameter including the energy issue. The high‑performance design of building related to the energy applies the ASHRAE standard, code and guideline to calc...

The rapid adoption of electric vehicles (EVs) has intensified concerns over the sustainable management of lithium‑ion batteries (LIBs), which often retain up to 80% of their capacity after reaching end‑of‑first‑life in vehicular applications. This study advances second‑life battery (SLB) research through three components: artificial intelligence (AI)‑driven predictive maintenance, optimized rec...