Measurement Sensors,
Год журнала:
2024,
Номер
33, С. 101192 - 101192
Опубликована: Май 7, 2024
The
global
energy
landscape
is
rapidly
shifting
toward
cleaner,
lower-carbon
electricity
generation,
necessitating
a
transition
to
alternate
sources.
Hydrogen,
particularly
green
hydrogen,
looks
be
significant
solution
for
facilitating
this
transformation,
as
it
produced
by
water
electrolysis
with
renewable
sources
such
solar
irradiations,
wind
speed,
and
biomass
residuals.
Traditional
systems
are
costly
produce
slowly
due
unpredictability
in
resource
supply.
To
address
challenge,
work
provides
novel
technique
that
integrates
multi-renewable
system
using
multi
objective
optimization
algorithm
meets
the
machine
learning-based
forecasted
load
model.
Several
forecasting
models,
including
Autoregressive
Integrated
Moving
Average(ARIMA),
Random
Forest
Long
Short-Term
Memory
Recurrent
Neural
Network
(LSTM-RNN),
assessed
develop
statistical
metrics
values
RMSE,
MAE,
MAPE.
selected
Non-Sorting
Moth
Flame
Optimization
(NSMFO)
demonstrates
technological
prowess
efficiently
achieving
optimization,
when
handling
multiple
functions.
This
integrated
method
shows
enormous
promise
technological,
economic,
environmental
terms,
emphasizing
its
ability
promote
sustainability
targets.
Measurement Sensors,
Год журнала:
2024,
Номер
33, С. 101166 - 101166
Опубликована: Апрель 16, 2024
Induction
machine
(IM)
plays
significant
role
in
rural
electrification,
acting
as
a
generator
for
small
kilowatt
to
large
megawatt
applications.
These
IMs
are
therefore
used
power
generation,
gaining
huge
acceptance
within
the
researchers
because
of
its
brushless
system,
robust
design
and
cheap
market
rate.
In
off-grid
operation,
induction
(IG)
also
known
self-excited
IG
(SEIG),
requires
supply
external
reactive
(RP)
building
up
terminal
voltage
satisfying
electrical
load
demand.
A
level
renewable-driven
three-phase
SEIG
is
generally
deployed
generating
single-phase
mode
remote
areas.
Generation
supplying
from
results
imbalance
SEIG's
stator
current
phase
voltage.
this
regard,
various
capacitor-based
excitation
(CBE)
schemes
have
been
reported
required
RP
power,
while
reducing
mentioned
difficulties.
The
paper
emphasizes
on
steady-state
mathematical
formulation
proposed
modified
CBE
scheme
hilly
hydro-driven
under
fixed
speed
generator.
Further,
state-of-the-art
experimental
test-bench
scheme,
where
resistive-inductive
(RL)
has
showcased
with
same
being
simulated
MATLAB
environment.
result
indicates
that
can
effectively
RL
different
factors
(p.f.),
having
promising
regulation
balanced
operation.
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102440 - 102440
Опубликована: Июнь 22, 2024
Today,
the
main
challenge
of
miniaturization
and
integration
power
converters
is
reducing
volume
parts,
eliminating
capacitors
inductors.This
paper
proposes
a
non-isolated
synchronous
buck
converter
(NSBC)
under
soft
switching
practice.
This
uses
zero
voltage
(ZVS)
topology,
which
not
only
provides
soft-switching
conditions
for
switches
but
also
prevents
kicking
off
two
ends
from
being
off-state
due
to
self-resonance.
To
achieve
highest
gain
in
different
working
cycles,
complementary
approach
use
Dc-Dc
simultaneous
will
be
used.The
DC-DC
with
ZVS
some
parts
providing
purpose
range
output
voltage.
In
addition,
implementation
proposed
control
circuit
conducted
very
simply
needs
lower
costs.
confirm
relations
theory,
results
laboratory
sample
discontinuous
continuous
modes
are
examined.
It
should
noted
that
can
operate
levels
voltage,
requires
protection
heat
policy.
The
implements
nominal
30-V
input
40KHz
frequency,
touches
on
issues
both
sides
conduction
mode
(DCM)
(CCM)
experiment
as
an
example
rates
30W
20W
respectively,
has
acceptable
interest
rate,
evaluated
compared
three
types
similar
modes.
Contemporary Mathematics,
Год журнала:
2024,
Номер
unknown, С. 3002 - 3037
Опубликована: Авг. 9, 2024
A
circular
economy
uses
limited
natural
resources
and
is
efficient
environmentally
productive.
It
aims
to
transform
from
a
"take-make-waste"
approach
more
restorative
regenerative
one.
closed-loop
system
reduces
waste,
pollution,
carbon
emissions
by
reusing,
sharing,
repairing,
refurbishing,
remanufacturing,
recycling.
We
developed
new
model
on
reverse
logistics
economic
order
quantity
with
the
economy.
This
paper
proposes
profit-maximizing
lot
size
in
which
all
products
are
at
variable
circularity
levels.
The
product's
degree
of
directly
influences
customers'
demand
gross
profit
per
unit,
we
study
these
effects
using
both
linear
nonlinear
forms
analysis
as
consumers
become
socially
responsible
about
their
consumption
practices.
maximize
profits
waste
electrical
electronic
equipment
(WEEE)
reducing
emissions.
Some
examples
discussed
find
business
variations
parameters.
goal
this
help
flow
re-manufacturers
equipment,
especially
computer
manufacturers,
acquire
ideal
index
for
they
manufacture
preserve
environment
simultaneously.
PLoS ONE,
Год журнала:
2024,
Номер
19(10), С. e0308002 - e0308002
Опубликована: Окт. 2, 2024
This
paper
proposes
a
model
called
X-LSTM-EO,
which
integrates
explainable
artificial
intelligence
(XAI),
long
short-term
memory
(LSTM),
and
equilibrium
optimizer
(EO)
to
reliably
forecast
solar
power
generation.
The
LSTM
component
forecasts
generation
rates
based
on
environmental
conditions,
while
the
EO
optimizes
model’s
hyper-parameters
through
training.
XAI-based
Local
Interpretable
Model-independent
Explanation
(LIME)
is
adapted
identify
critical
factors
that
influence
accuracy
of
in
smart
systems.
effectiveness
proposed
X-LSTM-EO
evaluated
use
five
metrics;
R-squared
(R
2
),
root
mean
square
error
(RMSE),
coefficient
variation
(COV),
absolute
(MAE),
efficiency
(EC).
gains
values
0.99,
0.46,
0.35,
0.229,
0.95,
for
R
,
RMSE,
COV,
MAE,
EC
respectively.
results
this
improve
performance
original
conventional
LSTM,
where
improvement
rate
is;
148%,
21%,
27%,
20%,
134%
compared
with
other
machine
learning
algorithm
such
as
Decision
tree
(DT),
Linear
regression
(LR)
Gradient
Boosting.
It
was
shown
worked
better
than
DT
LR
when
were
compared.
Additionally,
PSO
employed
instead
validate
outcomes,
further
demonstrated
efficacy
optimizer.
experimental
simulations
demonstrate
can
accurately
estimate
PV
response
abrupt
changes
patterns.
Moreover,
might
assist
optimizing
operations
photovoltaic
units.
implemented
utilizing
TensorFlow
Keras
within
Google
Collab
environment.
Measurement Sensors,
Год журнала:
2024,
Номер
33, С. 101185 - 101185
Опубликована: Май 3, 2024
The
purpose
of
this
study
is
to
explore
the
design
strategy
public
space
service
commercial
complex
based
on
Internet
Things.
By
constructing
a
three-tier
model
environmental
energy
consumption
monitoring
and
management
system
for
complex,
application
network
sensor
technology
analyzed,
data
access
interface
Windows
Communication
Foundation
(WCF)
designed
realize
batch
hosting
WCF
services
reduce
complexity
large-scale
publishing
services.
In
addition,
paper
proposes
clustering
method
probabilistic
topics
(PTCM),
which
divides
search
into
effectively
narrows
scope.
simulation
results
show
that
algorithm
shortens
shortest
distance
between
mobile
nodes
average
distance,
improves
perceived
quality
This
not
only
provides
new
ideas
methods
in
complexes,
but
also
useful
reference
promotion
Things
field
