For
a
long
time,
the
energy
transition
has
been
central
topic
in
global
policy
discussions
across
world's
various
systems.
The
refers
to
shift
from
traditional
sources
(such
as
oil,
coal,
and
gas)
renewable
(like
solar,
wind,
hydropower).
This
process
is
further
supported
by
existing
international
agreements.
Many
countries
are
developing
their
own
strategies
plans
meet
energy-related
objectives.
However,
differing
approaches
often
lead
disagreements,
have
varying
interests
regarding
resources,
security,
climate
obligations.
Global
security
emerging
significant
challenge
context.
Rising
demand,
geopolitical
tensions,
market
volatility,
vulnerability
of
systems
putting
immense
pressure
on
stability.
Potential
risks
associated
with
include
an
unequal
distribution
resources
technologies
between
developed
nations,
which
could
exacerbate
social
economic
inequalities.
Furthermore,
rapid
without
adequate
infrastructure
may
supply
instability,
higher
prices,
potential
unrest.
In
addition,
technologies-such
smart
grids
digitalization
systems-raises
new
concerns
about
data
protection
cybersecurity.
While
essential
for
achieving
sustainability
goals,
it
presents
challenges
that
require
careful
management
collaboration.
Developed
must
strike
balance
environmental
objectives,
interests,
while
also
minimizing
come
transitioning
sources.
forms
foundation
analysis
issues
addressed
this
paper.
Energies,
Год журнала:
2024,
Номер
17(18), С. 4600 - 4600
Опубликована: Сен. 13, 2024
The
purpose
of
this
study
is
to
examine
the
role
structural
transformation
in
energy
sector
accelerate
decarbonization
process
world’s
top
five
green
leaders,
Germany,
Canada,
Sweden,
Denmark,
and
Poland.
To
test
empirically,
we
collected
annual
data
from
a
panel
leaders
2000–2023.
A
key
contribution
our
lies
assessing
multiple
critical
metrics,
including
CO2
emissions,
carbon
intensity,
intensity
electricity,
production-based
consumption-based
capture
holistic
progress
towards
neutrality.
We
applied
augmented
mean
group
(AMG)
model
estimate
long-term
results.
Dumitrescu–Hurlin
used
causal
relationship
among
modeled
variables.
findings
AMG
reveal
that
renewable
production
consumption
significantly
reduce
electricity.
Conversely,
fossil-fuel-derived
exacerbates
these
metrics.
However,
impact
sources
varies
by
country
terms
their
magnitude.
outcomes
indicate
bidirectional
causality
exists
between
emissions
intensity.
unidirectional
fossil
fuel
Our
results
detrimental
impacts
continued
use
conclude
decarbonization.
Based
on
results,
suggest
policy
efforts
should
prioritize
reforms
emphasizing
shift
sources.
Such
are
essential
for
achieving
net-zero
mitigating
broader
environmental
degradation.
Remote Sensing,
Год журнала:
2024,
Номер
16(16), С. 2883 - 2883
Опубликована: Авг. 7, 2024
Currently,
spatial
modeling
is
of
particular
relevance
as
it
enables
the
understanding
patterns
and
variability
an
event,
monitoring
prediction
behavior
a
variable,
optimization
resources,
evaluation
impacts
phenomenon
interest.
Research
carried
out
recently
on
variables
related
to
solar
energy
budgets
has
been
special
due
its
applications
developments
in
machine
learning
(ML)
deep
(DL).
These
algorithms
are
crucial
improve
efficiency,
precision,
applicability
remote
sensing,
allowing
greater
decision
making
with
more
reliable
timely
data.
Thus,
this
work
proposes
systematic
rigorous
methodology
for
searching
research
articles
about
latest
advances
contributions
radiative
using
novel
techniques
some
most
relevant
international
scientific
databases
(Scopus,
ScienceDirect,
ResearchGate).
Search
parameters
were
applied
tracking
methods
through
various
filters,
specific
classifiers,
Boolean
operators.
The
results
allowed
analysis
search
trends
citations
last
5
years
topic
interest
number
research,
analyzed
specialized
metrics
graphs.
Additionally,
was
classified
into
four
categories
importance
refined
articulated
searches
evaluation:
(i)
according
interpolation
methods,
(ii)
sensors
used,
(iii)
different
fields
knowledge.
As
fact
essentially
prospective
purpose,
subchapter
review
dedicated
(iv)
terrestrial
radiation
ML,
method
being
tool
that
opens
multiple
alternatives
data
processing
development
achievement
objectives
field
geotechnologies.
A
quantitative
comparison
conducted
predictive
performance
between
classification/regression
found
studies
explored
review.
confirmed
existence
persistent
shortage
recent
within
geotechnologies
field,
particularly
concerning
distribution
developed
implemented
ML
incident
radiation.
Therefore,
provides
synthesis
used
budgets,
their
limitations,
biggest
challenges.
Journal of Cleaner Production,
Год журнала:
2024,
Номер
472, С. 143510 - 143510
Опубликована: Авг. 29, 2024
We
investigate
the
dynamic
effect
of
external
conflict
risk
on
environmental
transition
by
considering
impacts
eco-innovation,
economic
growth,
and
energy
consumption
in
a
panel
comprising
26
European
countries
from
2011
to
2020.Using
non-parametric
model
represented
QARDL,
we
find
that
short
run,
1%
increase
statistically
leads
0.25%
0.13%
likelihood
for
median
extreme
upper
quantiles
(50th
95th
percentiles),
respectively.However,
same
holds
little
importance
when
lower
quantile
(5th
percentile).The
indicated
substantially
decreases
long
reaching
zero
across
different
quantiles.We
also
note
discrepancies
impact
various
levels.For
instance,
population
is
significant
5th
90th
quintiles.Overall,
our
findings
suggest
enhancing
eco-innovation
helps
reduce
risk.The
results
are
relevant
development
policies
provide
valuable
insights
officials,
technology
stakeholders,
policymakers
their
attempts
strengthen
resilience
during
an
transition.
