International Review of Economics & Finance,
Год журнала:
2024,
Номер
93, С. 1064 - 1087
Опубликована: Май 3, 2024
The
return
distribution
of
energy
assets
deviates
from
the
normal
distribution,
making
volatility
a
partial
measure
risk,
and
climate
risk
tend
to
affect
skewness
preferences
environmentally
conscious
investors.
However,
limited
evidence
exists
on
impact
higher-order
moments
asset
returns,
especially
in
China.
Using
data
December
2013
June
2022,
we
study
time-varying
Granger
causal
flow
two
Chinese
uncertainty
indices
(Chinese
policy
(CPU)
(CU))
realized
high-order
(volatility,
skewness,
kurtosis)
various
covering
green
energy,
carbon
emission
allowances,
brown
indices.
main
results
show
time-variation
flows
risks,
without
ignoring
heterogeneity
between
measures
across
three
under
study.
causality
spans
time
periods,
is
generally
more
significant
for
volatility.
These
are
robust
specification
analysis.
They
also
remain
when
accounting
economic
uncertainty,
which
further
supports
their
robustness.
findings
highlight
ability
returns
through
channels
strong
deviation
preference
investors
frequent
occurrence
crisis
periods.
Energy Reports,
Год журнала:
2024,
Номер
11, С. 3202 - 3223
Опубликована: Март 8, 2024
As
the
world
witnesses
a
surge
in
adoption
of
renewable
energy
sources
to
meet
surging
global
power
demands,
dynamic
and
intermittent
nature
these
emerges
as
significant
hurdle.
This
article
extensively
explores
potential
advanced
control
systems,
storage
technologies,
resources
fortify
stability
within
systems.
Advanced
methodologies
are
strategically
amalgamated
with
deployment
utilization
energy,
advance
reliability,
predictability,
sustainability
The
analysis,
dedicated
focus
on
Input-to-input-to-state
(ISS),
is
conducted
meticulously
by
applying
Lyapunov
function
Reciprocally
Convex
Approach,
resulting
an
impressive
rate
23.6%.
Additionally,
Positive
Realness
substantiated
extracting
Linear
Matrix
Inequalities
(LMI)
context
Enhancing
Grid
Stability
Wind
Power.
study
places
particular
emphasis
evaluating
ISS
Passivity
both
delayed
non-delayed
specific
neutral
time-delay
evaluation
involves
selection
appropriate
Lyapunov-Krasovskii
Functional
(LKF)
its
derivation,
coupled
integration
reciprocally
convex
methods,
descriptive
approach,
Jensen
inequality.
outcomes
analyses
shed
light
causes
excess
effective
storage,
along
highlighting
synergistic
impact
integrating
controlling
grid
frequency,
voltage,
real
time.
also
accentuates
robustness
achieved
through
Enhanced
mitigation
Reduced
Fluctuations,
especially
sources.
