Projection of ecological water consumption under carbon emission in Chinese provinces
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
448, P. 141630 - 141630
Published: March 4, 2024
Language: Английский
Prediction of seasonal variation pollutant sequence based on binomial coupled nonlinear grey Bernoulli model
Grey Systems Theory and Application,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
Purpose
The
traditional
grey
Bernoulli
model
often
faces
limitations
when
applied
to
pollutant
concentration
series,
which
may
exhibit
complex
seasonal
trends
and
varying
data
types.
To
address
these
challenges,
we
propose
a
structural
extension
of
the
by
integrating
binomial
equation.
This
allows
for
more
flexible
framework
suitable
diverse
datasets,
especially
those
related
environmental
pollution.
Design/methodology/approach
First,
time
series
is
decomposed
into
four
relatively
stable
sub-sequences.
Binomial
nonlinear
models
are
then
integrated
predict
prediction
formula
proposed
derived
directly
from
definition
equation
rather
than
solutions
differential
equation,
thereby
minimizing
systematic
errors.
particle
swarm
optimization
algorithm
used
estimate
parameters,
while
least
squares
method
linear
parameters
model.
Findings
BNGBM(1,1)
forecast
air
quality
index
(AQI),
sulfur
dioxide
(SO
2
)
particulate
matter
(PM2.5)
seven
major
regions
in
China.
results
show
that
has
superior
accuracy
compared
competing
models.
predicts
variations
three
pollution
indicators
selected
period
2023–2024.
concentrations
all
indices
will
decrease
at
different
rates.
Originality/value
well
suited
sequences
exhibiting
quasi-exponential
growth,
whereas
polynomial
appropriate
characterized
saturated
growth.
integration
two
extends
their
applicability.
In
empirical
study,
despite
development
China,
forecasting
demonstrates
effective
performance
indicators.
Language: Английский
Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior matching algorithms
Song Ding,
No information about this author
Zhijian Cai,
No information about this author
Xinghuan Qin
No information about this author
et al.
Applied Energy,
Journal Year:
2024,
Volume and Issue:
367, P. 123386 - 123386
Published: May 11, 2024
Language: Английский
Rolling discrete grey periodic power model with interaction effect under dual processing and its application
Expert Systems with Applications,
Journal Year:
2024,
Volume and Issue:
254, P. 124487 - 124487
Published: June 13, 2024
Language: Английский
Utilizing a Fractional-Order Grey Model to Predict the Development Trends of China’s Electronic Commerce Service Industry
Fractal and Fractional,
Journal Year:
2024,
Volume and Issue:
8(3), P. 169 - 169
Published: March 14, 2024
Electronic
commerce
plays
a
vital
role
in
the
digital
age,
and
creation
of
good
electronic
ecosystem
is
crucial
to
maintaining
economic
growth.
The
service
industry
leading
indicator
development,
its
possible
changes
imply
future
trends
innovation
directions
industry.
An
accurate
grasp
revenue
scale
can
provide
decision-making
information
for
government
policy
formulation.
companies
must
formulate
operational
plans
based
on
latest
determine
strategic
that
are
reasonable
consistent
with
actual
situation.
Although
there
exist
many
prediction
methods,
they
often
fail
produce
ideal
results
when
number
observations
insufficient.
fractional-order
grey
model
common
method
used
deal
small
data
set
problems.
This
study
therefore
proposes
new
modeling
procedure
predict
China’s
experiments
demonstrate
proposed
yield
robust
outputs
under
condition
sets
reduce
risks.
Therefore,
it
be
regarded
as
practical
analysis
tool
managers.
Language: Английский
Formulating a road map for decarbonization in United States via resource efficiency, renewable energy, and globalization: Evidence from time‐frequency‐quantile approach
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 19, 2024
Abstract
Renewable
energy,
resource
efficiency,
and
globalization
are
recognized
as
pivotal
factors
in
the
pursuit
of
environmental
sustainability.
This
study's
novelty
lies
examining
impact
influence
globalization,
adoption
renewable
energy
sources
on
energy‐related
CO
2
emissions
United
States
spanning
years
from
1990
to
2020
is
focus
this
study.
Additionally,
investigation
leveraged
a
diverse
range
time‐frequency‐quantile
techniques,
encompassing
quantile‐on‐quantile
regressions,
wavelet
coherence,
cross
quantile
wavelet‐based
correlation,
regression,
which
an
additional
novel
aspect
The
findings
research
indicate
that
utilization
sources,
forces
collectively
contribute
enhancing
ecological
sustainability
by
reducing
across
quantiles,
time
periods,
temporal
contexts.
study
posits
these
offer
comprehensive
framework
can
guide
policymakers
toward
taking
tangible
measures
advance
while
curbing
emissions.
Language: Английский