Characterization and Application of Nanomaterials,
Год журнала:
2024,
Номер
7(1), С. 4226 - 4226
Опубликована: Фев. 1, 2024
Graphene,
an
innovative
nanocarbon,
has
been
discovered
as
a
significant
technological
material.
Increasing
utilization
of
graphene
moved
research
towards
the
development
sustainable
green
techniques
to
synthesize
and
related
nanomaterials.
This
review
article
is
basically
designed
highlight
sustainability
aspects
graphene.
Consequently,
vision
presented
for
nanocomposites.
Environmentally
production
ensuing
nanomaterials
studied.
The
formation
graphene,
oxide,
reduced
other
derivatives
synthesized
using
ecological
carbon
sources,
solvents,
non-toxic
reagents,
routes.
Furthermore,
conversion
industrial
polymers
recycled
In
addition,
have
also
used
form
method.
implication
in
energy
systems
investigated.
Specifically,
high
specific
capacitance
retention
were
observed
graphene-based
supercapacitor
systems.
Subsequently,
may
act
multi-functional,
performance,
nanomaterial
with
low
weight,
price,
environmental
friendliness
engineering
storage
applications.
However,
existing
challenges
regarding
advanced
material
design,
processing,
recyclability,
commercial
scale
need
be
overcome
unveil
true
sectors.
Sensors,
Год журнала:
2024,
Номер
24(6), С. 1888 - 1888
Опубликована: Март 15, 2024
In
the
rapidly
evolving
landscape
of
wireless
communication,
each
successive
generation
networks
has
achieved
significant
technological
leaps,
profoundly
transforming
way
we
connect
and
interact.
From
analog
simplicity
1G
to
digital
prowess
5G,
journey
mobile
been
marked
by
constant
innovation
escalating
demands
for
faster,
more
reliable,
efficient
communication
systems.
As
5G
becomes
a
global
reality,
laying
foundation
an
interconnected
world,
quest
even
advanced
leads
us
threshold
sixth-generation
(6G)
era.
This
paper
presents
hierarchical
exploration
6G
networks,
poised
at
forefront
next
revolution
in
technology.
study
delves
into
advancements
that
underpin
need
6G,
examining
its
key
features,
benefits,
enabling
technologies.
We
dissect
intricacies
cutting-edge
innovations
like
terahertz
ultra-massive
MIMO,
artificial
intelligence
(AI),
machine
learning
(ML),
quantum
reconfigurable
intelligent
surfaces.
Through
meticulous
analysis,
evaluate
strengths,
weaknesses,
state-of-the-art
research
these
areas,
offering
wider
view
current
progress
potential
applications
networks.
Central
our
discussion
is
transformative
role
AI
shaping
future
By
integrating
ML,
are
expected
offer
unprecedented
capabilities,
from
enhanced
broadband
groundbreaking
areas
smart
cities
autonomous
integration
heralds
new
era
intelligent,
self-optimizing
promise
redefine
parameters
connectivity
interaction.
also
address
critical
challenges
deployment
hurdles
regulatory
concerns,
providing
holistic
assessment
barriers.
highlighting
interplay
between
technologies,
this
maps
out
lights
path
forward
domain.
aims
be
cornerstone
resource,
essential
insights,
addressing
unresolved
questions,
stimulating
further
investigation
multifaceted
realm
synergy
aim
illuminate
field.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(4), С. 1243 - 1256
Опубликована: Апрель 10, 2024
Artificial
intelligence
(AI)
is
revolutionizing
the
field
of
energy
efficiency
optimization
by
enabling
advanced
analysis
and
control
systems.
This
review
provides
a
concise
overview
role
AI
in
enhancing
efficiency.
technologies,
such
as
machine
learning
neural
networks,
are
being
increasingly
applied
to
optimize
consumption
various
sectors,
including
buildings,
transportation,
industrial
processes.
These
technologies
analyze
vast
amounts
data
identify
patterns
trends,
more
precise
systems
prediction
demand.
One
key
advantages
its
ability
adapt
learn
from
data,
leading
continuous
improvement
energy-saving
strategies.
algorithms
can
based
on
factors
weather
conditions,
occupancy
patterns,
prices,
resulting
significant
cost
savings
environmental
benefits.
Furthermore,
enables
integration
renewable
sources
into
existing
predicting
generation
optimizing
use.
helps
reduce
reliance
fossil
fuels
mitigates
greenhouse
gas
emissions,
contributing
sustainable
future.
However,
implementation
not
without
challenges.
include
privacy
concerns,
need
for
specialized
skills
develop
deploy
solutions,
complexity
integrating
infrastructure.
Addressing
these
challenges
will
be
crucial
realizing
full
potential
optimization.
In
conclusion,
holds
great
promise
intelligent
By
leveraging
organizations
achieve
savings,
costs,
contribute
resilient
future.
Keywords:
Role,
AI,
Energy,
Efficiency,
Optimization.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(4), С. 1257 - 1269
Опубликована: Апрель 10, 2024
Smart
grids
have
emerged
as
a
key
technology
in
the
quest
for
energy
efficiency
and
sustainability.
This
review
provides
comprehensive
analysis
of
impact
smart
on
efficiency,
highlighting
findings,
challenges,
future
directions.
leverage
advanced
sensing,
communication,
control
technologies
to
optimize
generation,
distribution,
consumption
electricity.
By
enabling
two-way
communication
between
utilities
consumers,
improve
grid
reliability,
reduce
losses,
facilitate
integration
renewable
sources.
One
findings
this
is
significant
efficiency.
Studies
shown
that
can
by
real-time
monitoring
usage.
not
only
helps
consumers
their
electricity
bills
but
also
reduces
overall
carbon
footprint
sector.
However,
deployment
faces
several
including
high
upfront
costs,
interoperability
issues,
data
privacy
concerns.
Addressing
these
challenges
will
be
crucial
widespread
adoption
technologies.
Looking
ahead,
holds
great
promise
further
improving
Emerging
trends
such
Internet
Things
(IoT)
integration,
artificial
intelligence
(AI)
algorithms,
distributed
resources
(DERs)
management
are
expected
drive
innovation
In
conclusion,
transformative
offering
benefits
utilities,
environment.
addressing
cost
realizing
full
potential
grids.
embracing
emerging
technologies,
stakeholders
enhance
sustainability
sector.
Keywords:
Impact,
Grid,
Energy,
Efficiency,
Review.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(1), С. 219 - 230
Опубликована: Янв. 24, 2024
This
research
explores
data-driven
energy
management
practices
in
Canada,
the
USA,
and
Africa,
offering
a
comparative
analysis
of
successes,
challenges,
future
implications.
Integrating
smart
grid
technologies
supportive
regulatory
frameworks
North
America
has
driven
efficiency
gains
sustainability.
Conversely,
Africa
faces
unique
including
infrastructural
limitations,
yet
showcases
localized
successes
enhancing
access.
Lessons
learned
emphasize
stakeholder
collaboration
adaptable
frameworks,
providing
valuable
insights
for
global
strategies.
The
study
identifies
gaps
technological
infrastructure
recommends
collaborative,
context-specific
solutions.
As
community
moves
towards
sustainable
futures,
these
findings
contribute
to
nuanced
understanding,
guiding
policymakers,
industry
stakeholders,
researchers
shaping
resilient
inclusive
systems.
Keywords:
Data-Driven
Energy
Management,
Comparative
Analysis,
Sustainability,
Global
Landscape.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(2), С. 1791 - 1801
Опубликована: Фев. 28, 2024
As
the
world
grapples
with
urgent
need
for
sustainable
development,
transition
towards
green
energy
stands
as
a
critical
imperative.
Financing
this
poses
significant
challenges,
requiring
innovative
approaches
that
align
financial
objectives
environmental
sustainability
goals.
This
review
presents
conceptual
framework
leveraging
data-driven
techniques
in
finance
to
facilitate
energy.
The
proposed
integrates
principles
of
advanced
data
analytics
enhance
decision-making
processes
across
ecosystem.
At
its
core,
emphasizes
importance
harnessing
vast
datasets
related
production,
consumption,
impact,
and
performance.
By
machine
learning
algorithms
predictive
modeling
techniques,
stakeholders
can
gain
deeper
insights
into
risks
opportunities
associated
investments.
Key
components
include
collection
aggregation,
risk
assessment,
impact
measurement,
investment
optimization.
Data
sources
range
from
traditional
indicators
metrics,
social
assessments,
geopolitical
factors.
Through
comprehensive
analysis,
institutions
assess
long-term
viability
projects,
while
also
evaluating
potential
impacts.
Risk
assessment
methodologies
within
consider
both
risks,
such
market
volatility
regulatory
uncertainty,
non-financial
climate
change
impacts
community
resilience.
integrating
these
factors
models,
investors
make
more
informed
decisions
mitigate
losses
maximize
returns.
Furthermore,
measurement
tools
enable
quantify
benefits
tracking
metrics
carbon
emissions
reduction,
efficiency
improvements,
job
creation,
contribution
their
portfolios
broader
objectives.
Finally,
incorporates
optimization
strategies
goals
portfolio
diversification,
asset
allocation,
instruments
bonds
investing
funds,
allocate
capital
efficiently
projects.
presented
herein
offers
systematic
approach
practices.
datasets,
drive
simultaneously
achieving
returns
positive
outcomes.
