Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …

The continually increasing fossil fuel prices, the dwindling of these fuels, and the bad
environmental effects which mainly contribute to global warming phenomena are the main …

A major contribution of this work is to develop an efficient hybrid technique for building
energy resilience against natural disasters, which cause power outages for commercial and …

In this manuscript, a hybrid technique is proposed for the energy management (EM) of
hybrid energy storage systems (HESS) in electric vehicles (EVs). The proposed technique …

In this paper proposes an efficient hybrid approach for optimal energy management of plug
in hybrid electric vehicle (PHEV) with traffic conditions. The proposed hybrid system is joint …

Herein, an optimal control approach for the energy management of hybrid energy storage
system (HESS) like battery, supercapacitor (SC), and integrated charging unit in plugin …

In this paper, a hybrid control topology is proposed for cascaded multilevel inverter (CMLI)
with a grid-connected hybrid system involves wind and photovoltaic generation subsystem …

This paper proposes a hybrid approach for fault-tolerant operation in fifteen-level cascaded
H-Bridge (15LCHB) inverter with solar photovoltaic system (SPV). Fault-tolerant operation …

Cloud computing refers to a set of hardware and software that are connected to provide
various computing services. Cloud consists of services to deliver software, infrastructure and …

Scheduling a Directed Acyclic Graph (DAG) on voltage frequency islands involves dividing
the available processing units into multiple islands with varying voltage and frequency levels …