Decarbonization is driving power systems toward more decentralized, self-governing
models. While these technologies improve efficiency, planning, operations, and reduce the …

This paper proposes a multi-objective teaching–learning studying-based algorithm
(MTLSBA) to handle different objective frameworks for solving the large-scale Combined …

A shared pool of grid-scale storage resources called Cloud Energy Storage (CES) can bring
substantial benefits to the economical and reliable operation of MGs. However, the …

Multilayer piezocomposite transducers are widely used in many applications where broad
bandwidth is required for tracking and detection purposes. However, it is difficult to operate …

The Teaching Learning-Based Algorithm (TLBA) is a powerful and effective optimization
approach. TLBA mimics the teaching-learning process in a classroom, where TLBA's …

The idea of this paper is to provide a framework for simultaneous energy cost optimization
and congestion management by using shared energy storage. As a case study, this paper …

Fifty-four years after Karl Benz decided to put a gas-powered engine into a three-wheeled
vehicle and filed a patent for his innovation which revolutionized the automobile industry in …

Wireless sensor networks are an emerging technology for low-cost monitoring of a wide
range of environments, consisting of a collection of a large number of sensor nodes and at …

With the rapid growth in energy demand due to the increasing population, industrialization,
and technological advancements, effective energy management plays a pivotal role in …

It is well-known by many that the three important genetic operators employed by genetic
algorithm (GA) are selection, crossover and mutation. Throughout the decades of its …