Clean
energy,
typified
by
solar
energy
and
wind
is
employed
to
transform
the
structure
solve
problems
with
environment.
However,
generation
of
or
electricity
uncertain
owing
environmental
consequences.
Eliminating
instability
a
critical
method,
lithium
batteries
offer
an
option
that
becoming
more
established.
A
capacity
too
big
would
result
in
waste
increased
expenses,
while
small
conflict
scheduling.
The
quantity
can
be
stored
also
controlled
power
consumption,
even
if
large
industrial
demand
inconsistent.
For
this
demanding
problem,
design
deploys
as
well
having
considerable
loading
essential.
battery
installation
model
battery's
cycle
life
were
taken
into
consideration
part
management
utilizing
data
on
electric
consumption
production
estate.
performance
these
grid
imposed
constraints
system's
ability
provide
optimum
storage
minimizing
operating
expenditures.
With
cost
adequate
because
optimization
objectives
needs
constraints,
DDPG
technique
(Deep-Deterministic-Policy-Gradient)
was
utilized.
simulation
demonstrate
that,
compared
present
sources,
three
ways
lowered
volume
operation
system
19.1%.
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102664 - 102664
Опубликована: Авг. 5, 2024
The
analysis
and
detection
of
sleep
stages
continue
to
preoccupy
researchers,
particularly
bioinformaticians
neurologists
aiming
understand
various
aspects
functioning
the
brain
during
cycles.
This
understanding
is
crucial
for
developing
systems
capable
early
diagnosis
disorders
adapting
these
use
in
operating
rooms
monitor
activity
patients
under
sedation
or
anesthesia.
In
this
study,
we
apply
a
set
methods
process
decompose
single-channel
EEG
neural
signal
into
different
waves
such
as
beta,
alpha,
theta,
delta.
We
then
focus
on
optimization
extracted
non-linear
features
using
Principal
Component
Analysis
(PCA)
improve
performance
robustness
classification
six
stages.
Classifier
validation
performed
cross-validation
method.
results
show
that
when
dimensions
combined
are
reduced,
RF-PCA
model
achieves
an
accuracy
95.2%,
outperforming
other
models
MLP,
SVM,
DT,
GB,
well
recent
studies.
These
findings
validate
effectiveness
system,
indicating
its
potential
embedded
implementation
practical
applications
disorder
monitoring.
