Energies,
Год журнала:
2024,
Номер
17(21), С. 5369 - 5369
Опубликована: Окт. 29, 2024
Anomaly
detection
is
a
common
analytical
task
aimed
at
identifying
rare
cases
that
differ
from
the
majority
of
typical
in
dataset.
In
management
photovoltaic
(PV)
power
generation
systems,
it
essential
for
electric
companies
to
effectively
detect
anomalies
PV
sequence
data,
as
this
helps
operators
and
experts
understand
interpret
within
arrays
when
making
response
decisions.
However,
traditional
methods
rely
on
manual
labor
regular
data
collection
are
difficult
monitor
real
time,
resulting
delays
fault
localization.
Traditional
machine
learning
algorithms
slow
cumbersome
processing
which
affects
operational
safety
plants.
paper,
we
propose
visual
analytic
approach
detecting
exploring
anomalous
sequences
dataset
via
learning.
We
first
compare
with
their
reconstructions
through
an
unsupervised
anomaly
algorithm
(Long
Short-Term
Memory)
based
AutoEncoders
identify
anomalies.
To
further
enhance
accuracy
detection,
integrate
artificial
intelligence
things
(AIoT)
technology
strict
time
synchronization
real-time
algorithm.
This
integration
ensures
multiple
sensors
synchronized
processed
time.
Then,
analyze
characteristics
comparison
different
explore
potential
correlation
factors
possible
causes
Case
studies
authentic
enterprise
datasets
demonstrate
effectiveness
our
method
exploration
data.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 2764 - 2764
Опубликована: Март 27, 2024
Over
the
past
years,
machine
learning
and
big
data
analysis
have
emerged,
starting
as
a
scientific
fictional
domain,
very
interesting
but
difficult
to
test,
becoming
one
of
most
powerful
tools
that
is
part
Industry
5.0
has
significant
impact
on
sustainable,
resilient
manufacturing.
This
garnered
increasing
attention
within
scholarly
circles
due
its
applicability
in
various
domains.
The
scope
article
perform
an
exhaustive
bibliometric
existing
papers
belong
data,
pointing
out
capability
from
point
view,
explaining
usability
applications,
identifying
which
actual
continually
changing
domain.
In
this
context,
present
paper
aims
discuss
research
landscape
associated
with
use
terms
themes,
authors,
citations,
preferred
journals,
networks,
collaborations.
initial
focuses
latest
trends
how
researchers
lend
helping
hand
change
preconceptions
about
learning.
annual
growth
rate
123.69%,
considerable
for
such
short
period,
it
requires
comprehensive
check
boom
articles
Further,
exploration
investigates
affiliated
academic
institutions,
influential
publications,
key
contributors,
delineative
authors.
To
accomplish
this,
dataset
been
created
containing
researchers’
extracted
ISI
Web
Science
database
using
keywords
2016
ending
2023.
incorporates
graphs,
describe
relevant
country
collaborations,
used
words.
ends
review
globally
cited
documents,
describing
importance
5.0.
Energies,
Год журнала:
2025,
Номер
18(7), С. 1618 - 1618
Опубликована: Март 24, 2025
Traditional
centralized
energy
grids
struggle
to
meet
urban
areas’
increasingly
complex
demands,
necessitating
the
development
of
more
sustainable
and
resilient
solutions.
Smart
microgrids
offer
a
decentralized
approach
that
enhances
efficiency,
facilitates
integration
renewable
sources,
improves
resilience.
This
study
follows
systematic
review
approach,
analyzing
literature
published
in
peer-reviewed
journals,
conference
proceedings,
industry
reports
between
2011
2025.
The
research
draws
from
academic
publications
institutions
alongside
regulatory
reports,
examining
actual
smart
microgrid
deployments
San
Diego,
Barcelona,
Seoul.
Additionally,
this
article
provides
real-world
case
studies
New
York
London,
showcasing
successful
unsuccessful
deployments.
Brooklyn
Microgrid
demonstrates
peer-to-peer
trading,
while
London
faces
regulations
funding
challenges
its
systems.
paper
also
explores
economic
policy
frameworks
such
as
public–private
partnerships
(PPPs),
localized
markets,
standardized
models
enable
adoption
at
scale.
While
PPPs
provide
financial
infrastructural
support
for
deployment,
they
introduce
stakeholder
alignment
compliance
complexities.
Countries
like
Germany
India
have
successfully
used
development,
leveraging
low-interest
loans,
government
incentives,
mechanisms
encourage
innovation
technologies.
In
addition,
examines
new
trends
utilization
AI
quantum
computing
optimize
energy,
climate
design
before
outlining
future
agenda
focused
on
cybersecurity,
decarbonization,
inclusion
technology.
Contributions
include
modular
scalable
framework,
innovative
hybrid
storage
systems,
performance-based
model
suited
environment.
These
contributions
help
fill
gap
what
is
possible
today
needed
systems
create
foundation
cities
next
century.
Electronics,
Год журнала:
2024,
Номер
13(19), С. 3824 - 3824
Опубликована: Сен. 27, 2024
The
advent
of
6G
technology
will
transforms
aviation,
particularly
in
the
realm
aircraft
health
monitoring
systems
(AHMSs).
This
paper
explores
transformative
potential
enhancing
real-time
data
exchange,
predictive
maintenance,
and
overall
communication
efficiency
within
aviation
sector.
By
using
ultra-fast
transmission,
low
latency,
advanced
AI
integration,
enables
development
a
unified
AHMS
architecture
that
significantly
improves
safety,
operational
efficiency,
reliability.
proposed
eight-layer
model,
incorporating
digital
twins,
federated
learning,
edge
computing,
showcases
how
can
revolutionize
maintenance
by
providing
continuous,
decision-making
capabilities.
Sensors,
Год журнала:
2025,
Номер
25(3), С. 853 - 853
Опубликована: Янв. 30, 2025
The
integration
of
IoT
and
Ambient
Assisted
Living
(AAL)
enables
discreet
real-time
health
monitoring
in
home
environments,
offering
significant
potential
for
personalized
preventative
care.
However,
challenges
persist
balancing
privacy,
cost,
usability,
system
reliability.
This
paper
provides
an
overview
recent
advancements
sensor
technologies
assisted
living,
with
a
focus
on
elderly
individuals
living
independently.
It
categorizes
types
that
enhance
healthcare
delivery
explores
interdisciplinary
framework
encompassing
sensing,
communication,
decision-making
systems.
Through
this
analysis,
highlights
current
applications,
identifies
emerging
challenges,
pinpoints
critical
areas
future
research.
aims
to
inform
ongoing
discourse
advocate
approaches
design
address
existing
trade-offs
optimize
performance.
