npj Materials Degradation,
Journal Year:
2023,
Volume and Issue:
7(1)
Published: Feb. 22, 2023
Abstract
As
the
adoption
of
renewable
energy
sources,
particularly
photovoltaic
(PV)
solar,
has
increased,
need
for
effective
inspection
and
data
analytics
techniques
to
detect
early-stage
defects,
faults,
malfunctions
become
critical
maintaining
reliability
efficiency
PV
systems.
In
this
study,
we
analysed
thermal
defects
in
3.3
million
modules
located
UK.
Our
findings
show
that
36.5%
all
had
with
900,000
displaying
single
or
multiple
hotspots
~250,000
exhibiting
heated
substrings.
We
also
observed
an
average
temperature
increase
21.7
°C
defective
modules.
Additionally,
two
assets
19.25
8.59%
were
examined
degradation,
results
revealed
a
higher
degradation
rate
when
more
are
present.
These
demonstrate
importance
implementing
cost-effective
procedures
platforms
extend
lifetime
improve
performance
Electronics,
Journal Year:
2022,
Volume and Issue:
11(15), P. 2324 - 2324
Published: July 26, 2022
The
popularity
of
wireless
sensor
networks
for
establishing
different
communication
systems
is
increasing
daily.
A
network
consists
sensors
prone
to
various
security
threats.
These
nodes
make
a
vulnerable
denial-of-service
attacks.
One
them
wormhole
attack
that
uses
low
latency
link
between
two
malicious
and
affects
the
routing
paths
entire
network.
This
brutal
as
it
resistant
many
cryptographic
schemes
hard
observe
within
paper
provides
comprehensive
review
literature
on
subject
detection
mitigation
attacks
in
networks.
existing
surveys
are
also
explored
find
gaps
literature.
Several
based
methods
evaluated
critically
terms
throughput,
rate,
energy
consumption,
packet
delivery
ratio,
end-to-end
delay.
As
artificial
intelligence
machine
learning
have
massive
potential
efficient
management
networks,
this
AI-
ML-based
optimal
solutions
identified
state-of-the-art
problems
detection.
per
author’s
knowledge,
first
in-depth
techniques
Finally,
our
open
research
challenges
detecting
mitigating
Energy Reports,
Journal Year:
2023,
Volume and Issue:
9, P. 3604 - 3623
Published: Feb. 27, 2023
The
hybrid
photovoltaic-thermoelectric
generation
system
(PVTEG)
gives
two-fold
benefits;
firstly,
it
efficiently
utilizes
the
available
solar
energy
as
converts
both
irradiance
and
thermal
into
electricity,
secondly,
enhances
PV
efficiency
by
reducing
module
surface
temperature.
However,
of
PVTEG
is
usually
low
because
TEG
are
not
highly
efficient
devices.
Under
changing
environmental
conditions,
a
well-designed
maximum
power
point
tracking
(MPPT)
controller
can
enhance
10%–15%.
Therefore,
this
research
explores
evolutionary
Neural
Network
based
MPPT
control
technique
for
systems.
snake
optimizer
optimally
tuned
weight
biases
Multilayer
perceptron
neural
network
(MLPNN),
which
provides
fast
real-time
global
maxima
(GM)
tracking.
Furthermore,
to
robustness
control,
PID
gains
using
SO
algorithm.
Use
(SOPID)
with
(SOANN)
results
in
stable,
accurate
under
varying
conditions.
effectiveness
proposed
SOANN
validated
comparing
PSOANN,
RSANN
GWOANN.
very
negligible
oscillations.
extract
optimal
an
average
99.928%
time
less
than
5ms.
intelligent
data
driven
fault
detection
algorithm
proposed,
do
require
any
temperature
or
sensors
cost
system.
Comparative,
simulation,
quantitative,
statistical
second
superior
performance
terms
efficiency,
time,
stability
capability
various
practical
condition.
IntechOpen eBooks,
Journal Year:
2023,
Volume and Issue:
unknown
Published: May 11, 2023
This
chapter
discusses
the
modeling,
analysis,
and
simulation
approaches
of
a
maximum
power
point
tracker
(MPPT)
using
perturb
observe
algorithm
photovoltaic
(PV)
system.
In
systems,
tracking
is
crucial
because
it
maximizes
production
from
PV
system
under
specific
conditions,
hence
increasing
array
efficiency
lowering
costs.
Appropriate
algorithms
must
be
used
to
track
(MPP)
maintain
system’s
operation
in
MPP
varies
depending
on
irradiation
cell
temperature.
paper
presents
mathematical
modeling
procedures
for
DC-DC
boost
converter
also
introduces
theories
systems
MPPT
techniques.
A
step-by-step
procedure,
analysis
are
explained
this
MATLAB/Simulink
software.
with
P&O
without
were
simulated
tested
around
different
environmental
conditions.
Their
performance
evaluated
compared
through
theoretical
digital
based
response
time
varying
irradiance
temperature
condition
MATLAB/Simulink.
The
outperforms
terms
proficiency
accuracy.
Under
both
stable
changing
weather
situations,
displays
ideal
time.
International Journal of Thermofluids,
Journal Year:
2024,
Volume and Issue:
21, P. 100590 - 100590
Published: Jan. 28, 2024
Unmanned
aerial
vehicles
(UAVs)
have
attracted
massive
attention
in
many
engineering
and
practical
applications
the
last
years
for
their
characteristics
operation
flexibility.
For
UAV
system,
suitable
control
systems
are
required
to
operate
appropriately
efficiently.
An
emerging
technique
is
visual
servoing
utilizing
onboard
camera
inspecting
UAV's
environment
autonomously
controlling
operation.
Artificial
intelligence
(AI)
techniques
widely
deployed
of
autonomous
applications.
Despite
increasing
research
field
AI-based
systems,
comprehensive
review
articles
that
showcase
general
trends
future
directions
this
limited.
This
work
comprehensively
examines
application
advancements
AI-enhanced
covering
critical
tasks
offering
insights
into
enhancing
performance
applicability
which
limited
current
literature.
The
paper
first
reviews
intelligent
executing
various
tasks,
including
3D
positioning,
ground
object
following,
obstacle
avoidance,
landing.
Second,
progresses
applying
AI
discussed
analyzed.
Finally,
gaps
further
improving
included.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 5033 - 5045
Published: May 7, 2024
This
study
suggests
an
Improved
Snake
Optimizer
algorithm
(ISO)
MPPT
control
method
address
the
issues
with
traditional
and
Algorithm
(SO)
slow
convergence
poor
search
stability.
The
Levy
flight
strategy
is
introduced
to
enhance
algorithm's
global
research
capacity
rapidly
skipping
local
search.
dynamic
exploitation
probability
proposed
overcome
premature
into
optima.
Chaos
thought
added
increase
richness
diversity
of
snake
locations,
accelerate
speed
find
best
location,
improve
accuracy.
When
ISO
compared
SO
under
various
environment
conditions,
has
maximum
tracking
efficiency
99.99%
fastest
response
time
only
0.08
s.
However,
99.94%
0.19
s,
significantly
improves
capability
for
optimal
values
faster
tracks
power
point.
To
further
demonstrate
realistic
value
show
that
it
performs
well
in
applications
better
speeds,
minimal
oscillation,
loss
real-world
weather
experimental
setup
was
constructed
a
real
environment.The
Increased
Energy
reaches
31.97
W
28.22
W,
rate
always
higher
than
algorithm,
reflecting
effectiveness
application
technology.
