Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(6), С. 2050 - 2064
Опубликована: Июнь 13, 2024
This
paper
explores
the
role
of
advanced
data
analytics
in
optimizing
renewable
energy
systems
to
achieve
clean
objectives.
As
world
transitions
towards
sustainable
sources,
intermittency
and
variability
sources
present
significant
challenges.
Traditional
approaches
managing
these
challenges
often
fall
short
terms
efficiency
scalability.
However,
offers
promising
solutions
by
leveraging
large
volumes
optimize
production,
storage,
distribution.
discusses
various
techniques
such
as
predictive
modeling,
optimization
algorithms,
grid
management
strategies
enabled
analytics.
Case
studies
highlight
real-world
applications
wind
solar
optimization,
showcasing
effectiveness
data-driven
improving
output
integration.
Despite
potential
benefits,
privacy,
security,
regulatory
frameworks
remain
important
considerations.
Looking
ahead,
integration
IoT
sensor
technologies
holds
promise
for
further
enhancing
performance
systems.
By
fostering
collaboration
between
researchers,
policymakers,
industry
stakeholders,
we
can
accelerate
adoption
propel
transition
a
future.
Keywords:
Renewable
Energy,
Advanced
Data
Analytics,
Predictive
Modeling,
Optimization
Algorithms,
Grid
Integration,
Sustainability.
Computer Science & IT Research Journal,
Год журнала:
2024,
Номер
5(6), С. 1469 - 1487
Опубликована: Июнь 25, 2024
In
the
rapidly
evolving
landscape
of
digital
transformation,
cloud
computing
has
emerged
as
a
pivotal
technology
enabling
businesses
to
achieve
unparalleled
scalability
and
operational
flexibility.
This
review
explores
transformative
impact
advanced
technologies
on
business
operations,
highlighting
key
innovations
their
implications
for
organizational
growth
efficiency.
Cloud
offers
dynamic
scalable
environment
where
resources
can
be
provisioned
managed
on-demand,
allowing
respond
swiftly
changing
market
conditions
customer
demands.
By
leveraging
infrastructure,
companies
scale
operations
seamlessly
without
need
significant
upfront
investments
in
physical
hardware.
flexibility
not
only
reduces
capital
expenditure
but
also
enhances
ability
innovate
adapt
competitive
marketplace.
Advanced
technologies,
such
multi-cloud
hybrid
solutions,
further
augment
by
organizations
optimize
IT
environments.
Multi-cloud
strategies
allow
distribute
workloads
across
multiple
providers,
mitigating
risks
associated
with
vendor
lock-in
ensuring
high
availability
redundancy.
Hybrid
which
integrate
on-premises
infrastructure
public
private
clouds,
provide
balanced
approach
managing
sensitive
data
while
benefiting
from
cloud.
Moreover,
cloud-native
like
containerization
serverless
have
revolutionized
application
development
deployment.
Containers
encapsulate
applications
dependencies,
consistency
different
environments
facilitating
rapid
Serverless
reviews
underlying
developers
focus
solely
code,
thus
accelerating
cycle
reducing
overhead.
The
integration
analytics
artificial
intelligence
(AI)
capabilities.
platforms
offer
robust
tools
AI
services
that
process
vast
amounts
real-time,
providing
actionable
insights
predictive
decision-making.
empowers
improve
experiences,
drive
strategic
initiatives
data-driven
precision.
conclusion,
are
instrumental
transforming
harnessing
power
cloud,
greater
agility,
cost
efficiency,
innovation,
positioning
themselves
sustained
advantage
age.
As
continue
evolve,
potential
redefine
economic
value
will
expand,
making
adoption
critical
imperative
modern
enterprises.
Keywords:
Operational
Flexibility,
Transforming,
Business
Scalability,
Advanced,
Computing
Technologies.
Computer Science & IT Research Journal,
Год журнала:
2024,
Номер
5(7), С. 1680 - 1694
Опубликована: Июль 25, 2024
In
the
era
of
data-driven
decision-making,
ensuring
data
quality
is
paramount
for
organizations
seeking
to
leverage
their
assets
effectively.
This
paper
explores
comprehensive
strategies
enhancing
through
robust
governance,
methodologies,
tools,
and
continuous
improvement
techniques.
It
highlights
critical
dimensions
quality,
including
accuracy,
completeness,
consistency,
timeliness,
validity,
uniqueness.
discusses
various
assessment
techniques,
such
as
profiling,
auditing,
metrics.
The
also
examines
role
cleansing,
enrichment,
integration,
interoperability
in
maintaining
high
quality.
Additionally,
it
provides
an
overview
leading
management
evaluation
criteria,
best
practices
implementation.
Finally,
underscores
importance
monitoring,
feedback
loops,
root
cause
analysis,
fostering
organization's
culture.
By
adopting
these
strategies,
can
ensure
reliability
integrity
data,
improved
business
outcomes.
Keywords:
Data
Quality,
Governance,
Profiling,
Cleansing,
Continuous
Improvement.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(6), С. 2065 - 2081
Опубликована: Июнь 25, 2024
The
integration
of
renewable
energy
sources
with
fuel
synthesis
represents
a
transformative
approach
to
addressing
the
twin
challenges
sustainability
and
climate
change.
This
review
presents
conceptual
framework
for
coupling
technologies,
such
as
solar,
wind,
biomass,
processes
produce
sustainable,
zero-carbon
fuels.
emphasizes
use
electricity
water
splitting
carbon
dioxide
reduction,
key
steps
in
synthesizing
hydrogen
other
synthetic
highlights
importance
advanced
catalysts
enhancing
efficiency
selectivity
these
chemical
reactions.
Innovations
nanostructured
catalysts,
hybrid
materials,
biomimetic
approaches
are
discussed
their
potential
significantly
improve
performance
durability
catalytic
processes.
Additionally,
underscores
role
characterization
techniques
computational
modeling
understanding
optimizing
catalyst
behavior.
necessitates
technical
associated
scaling
up
production
from
laboratory
industrial
levels.
These
include
ensuring
stability
longevity
under
operational
conditions,
managing
intermittency
sources,
developing
robust
systems
capturing
utilizing
dioxide.
Furthermore,
economic
viability
integrated
is
critical,
requiring
cost-effective
solutions
that
leverage
earth-abundant
materials
optimize
overall
efficiency.
environmental
benefits
integrating
substantial,
offering
pathway
reduce
emissions
reliance
on
fossil
fuels
using
can
lead
closed
cycle,
thereby
mitigating
impact
change
contributing
sustainable
future.
Future
directions
this
field
involve
interdisciplinary
research
further
enhance
performance,
develop
new
refine
process
strategies.
A
roadmap
future
development
includes
prioritizing
areas
improved
design,
efficient
CO2
capture
electrochemical
photochemical
systems.
abstract
concludes
by
underscoring
energy-fuel
integration,
envisioning
where
practices
become
cornerstone
global
Keywords:
Integrating,
Renewable
Energy,
Fuel
Synthesis,
Directions,
Framework.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(6), С. 2050 - 2064
Опубликована: Июнь 13, 2024
This
paper
explores
the
role
of
advanced
data
analytics
in
optimizing
renewable
energy
systems
to
achieve
clean
objectives.
As
world
transitions
towards
sustainable
sources,
intermittency
and
variability
sources
present
significant
challenges.
Traditional
approaches
managing
these
challenges
often
fall
short
terms
efficiency
scalability.
However,
offers
promising
solutions
by
leveraging
large
volumes
optimize
production,
storage,
distribution.
discusses
various
techniques
such
as
predictive
modeling,
optimization
algorithms,
grid
management
strategies
enabled
analytics.
Case
studies
highlight
real-world
applications
wind
solar
optimization,
showcasing
effectiveness
data-driven
improving
output
integration.
Despite
potential
benefits,
privacy,
security,
regulatory
frameworks
remain
important
considerations.
Looking
ahead,
integration
IoT
sensor
technologies
holds
promise
for
further
enhancing
performance
systems.
By
fostering
collaboration
between
researchers,
policymakers,
industry
stakeholders,
we
can
accelerate
adoption
propel
transition
a
future.
Keywords:
Renewable
Energy,
Advanced
Data
Analytics,
Predictive
Modeling,
Optimization
Algorithms,
Grid
Integration,
Sustainability.
