This paper presents a strategy based on the hierarchical rolling horizon control, also called
model predictive control (MPC), for efficiently managing a hydrogen-energy storage system …

This study aims to reveal consumers' intention to purchase Electric Vehicles (EVs) based on
the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A hybrid fuzzy …

Micro/nanostructures hold promise for use as emitters to boost the efficiency of
thermophotovoltaic (TPV) systems. For example, periodic gratings may alter the spectrum of …

Within the scope of sustainable development, integrating electric vehicles (EVs) and
renewable energy sources (RESs) into power grids offers a number of benefits. These …

This paper examines the performance of three binary metaheuristic algorithms when applied
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …

This article presents an innovative active and reactive energy management system (AR-
EMS) specifically designed for residential buildings in Morocco, seamlessly integrated with a …

This study endeavors to comprehensively enhance energy efficiency and investigate the
potential of integrated energy system in energy conservation and emission mitigation by …

At present, the unstable availability of renewable energy and the unpredictability of its usage
have a negative impact on the reliable functioning of a microgrid. Furthermore, the presence …

This paper addresses the conundrum of optimizing electricity consumption patterns in
response to fluctuations in demand and price, a task managed by both load aggregators and …

Globally, breast cancer ranks as the most widespread form of cancer among women.
Machine Learning and Deep Learning approaches provide more effective means for …