Forecasting Renewable Energy Consumption Using a Novel Fractional Grey Reverse Accumulation Model
Systems,
Journal Year:
2025,
Volume and Issue:
13(1), P. 51 - 51
Published: Jan. 15, 2025
The
accumulation
operation
is
the
most
fundamental
method
for
processing
data
in
grey
models,
playing
a
decisive
role
accuracy
of
model
predictions.
However,
traditional
forward
does
not
adhere
to
principle
prioritizing
new
information.
Therefore,
we
propose
novel
fractional
reverse
accumulation,
which
increases
coefficient
fully
utilize
information
carried
by
latest
data.
This
led
development
model,
termed
FGRM(1,1).
was
validated
using
renewable
energy
consumption
from
France,
Spain,
UK,
and
Europe,
results
demonstrated
that
FGRM(1,1)
outperformed
other
models
terms
simulation
error,
prediction
comprehensive
error.
predictions
indicated
significant
growth
France
moderate
robust
Europe
overall.
These
findings
highlight
effectiveness
proposed
utilizing
provide
insights
into
transition
emission
reduction
potential
Europe.
Language: Английский
A novel dynamic fractional-order discrete grey power model for forecasting China's total solar energy capacity
Engineering Applications of Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
152, P. 110736 - 110736
Published: April 15, 2025
Language: Английский
Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations
Bachirou Bogno,
No information about this author
Deli Goron,
No information about this author
Nisso Nicodem
No information about this author
et al.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(12), P. e0316281 - e0316281
Published: Dec. 30, 2024
Optimizing
energy
resources
is
a
major
priority
these
days.
Increasing
household
demand
often
leads
to
the
deterioration
of
poorly
sized
distribution
networks.
This
paper
presents
method
for
compensation
and
optimization
in
radial
systems
(ORDS).
By
integrating
distributed
generations
(DG),
an
approach
used
evaluate
voltage
power
profiles,
as
well
losses
on
(PLRDSs).
After
generations,
improved
profiles
are
established.
A
potential
solution
blackouts
(PCB)
can
also
be
use
hybrid
generation
(HDGSs)
that
reinforce
networks
(RDNs)
by
improving
quality.
Accordingly,
proposed
configuration
system
shown
this
work
inject
multiple
renewable
sources
(MRES)
from
selected
regulated
nodes.
The
feasibility
evaluated
using
particle
swarm
(PSO),
which
was
locate
stable
nodes
locations,
sensitive
fluctuations.
based
evaluation
IEEE
33
bus
69
standards
MATLAB-based
establishes
objective
function
converges
more
quickly
optimal
results.
Language: Английский