Journal of Sensor and Actuator Networks,
Год журнала:
2024,
Номер
14(1), С. 3 - 3
Опубликована: Дек. 27, 2024
The
reliance
on
fossil
fuels
as
a
primary
global
energy
source
has
significantly
impacted
the
environment,
contributing
to
pollution
and
climate
change.
A
shift
towards
renewable
sources,
particularly
solar
power,
is
underway,
though
these
sources
face
challenges
due
their
inherent
intermittency.
Battery
storage
systems
(BESS)
play
crucial
role
in
mitigating
this
intermittency,
ensuring
reliable
power
supply
when
generation
insufficient.
objective
of
paper
accurately
predict
irradiance
for
battery
operation
optimization
microgrids.
Using
satellite
data
from
weather
sensors,
we
trained
machine
learning
models
enhance
predictions.
We
evaluated
five
popular
algorithms
applied
ensemble
methods,
achieving
substantial
improvement
predictive
accuracy.
Our
model
outperforms
previous
works
using
same
dataset
been
validated
generalize
across
diverse
geographical
locations
Florida.
This
work
demonstrates
potential
AI-assisted
data-driven
approaches
support
sustainable
management
solar-powered
IoT-based
