International Journal of Energy Research,
Год журнала:
2024,
Номер
2024(1)
Опубликована: Янв. 1, 2024
Energy
poverty
(EP)
has
emerged
as
a
major
challenge
to
achieving
sustainable
development
goals,
and
its
significance
in
social
increased
over
time.
This
paper
aims
analyze
the
spatial
autocorrelation
between
EP
factors
on
global
scale.
Utilizing
panel
data
of
116
countries
from
2012
2019,
Bivariate
local
Moran
index,
representative
econometrics
tool,
been
employed
examine
temporal
changes
differences
transboundary
synergy
tradeoff
relations
factors.
The
results
indicate
that
relationships
with
factors,
including
life
expectancy
at
birth,
access
immunization,
CO
2
emission,
forest
area,
relationship
such
infant
mortality
rate,
prevalence
undernourishment,
rents,
gender
inequality.
Significant
have
observed
clusters
high‐income
countries,
particularly
those
Global
North,
tend
better
energy
are
surrounded
by
areas
favorable
conditions,
lower‐income
especially
South
Africa
Southeast
Asia,
lower
more
severe
conditions.
robustness
analysis
conducted
verify
reliability
results.
imbalance
findings
offers
robust
evidence
emphasizing
importance
key
areas,
Asia
Africa,
should
be
prioritized
take
essential
policy
measures
address
issues.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 7, 2025
The
effective
implementation
of
the
European
Green
Deal
is
based
on
closing
cycles
by
means
reusing
products
and
extending
their
durability,
especially
for
steel
in
construction
industry.
Life
Cycle
Assessment
gives
an
opportunity
to
determine
potential
impact
caused
environment
building
structures
it
used
mainly
at
early
design
stage.
At
same
time,
there
are
significant
gaps
when
comes
predicting
properties
last
stage
life
cycle
existing
buildings
End
Stage
(C1-C4)
phases
D—Benefits
Loads
Beyond
System
Boundary.
This
paper
uses
machine
learning
(ML)
order
solve
problem
reusability
determination
its
yield
strength
a
non-destructive
magnetic
method.
will
give
make
informed
decisions
using
this
again.
research
approaches
that
include
regression
problems.
However,
use
ensemble
significantly
improves
quality
accuracy
results,
while
demonstrating
advantage
combining
multiple
models
obtaining
more
accurate
predictions.
results
show
WeightedEnsemble
method
(which
includes
8
models)
has
best
prediction
(MSE
=
441
MPa
RMSE
21
MPa).
high
low
delay
conclusion
(IL
0.119
s)
tensile
limit
(MPa)
data
testing
structural
products.
.
innovation
development
lies
ability
provide
automated
tool
support
decision-making
reuse
site
professionals.
model
integration
with
practices
indicate
progress
managing
processes
final
–
D.
Energy Economics,
Год журнала:
2024,
Номер
136, С. 107677 - 107677
Опубликована: Июнь 5, 2024
This
study
examines
the
dynamics
of
transition
to
green
economies
in
relation
energy
poverty
European
countries.
By
employing
augmented
mean
group
(AMG)
and
fully
modified
ordinary
least
squares
estimations
(FMOLS),
we
find
empirical
evidence
that
indicates
influence
variables
representing
processes
transitioning
on
poverty.
To
further
elucidate
these
relationships,
Granger
causality
analysis
was
conducted.
The
findings
this
research
contribute
ongoing
discourse
surrounding
from
perspective
productivity.
It
is
observed
improvements
productivity
are
associated
with
a
reduction
prevalence
Additionally,
noteworthy
relationship
identified
between
consumption
energy,
whereby
an
increase
corresponds
proportion
within
overall
mix.
Accordingly,
it
recommended
public
policies
complement
societies
measures
aimed
at
ensuring
adequate
provision
for
population.
Energies,
Год журнала:
2024,
Номер
17(23), С. 5965 - 5965
Опубликована: Ноя. 27, 2024
With
accelerating
climate
change
and
rising
global
energy
consumption,
the
application
of
artificial
intelligence
(AI)
machine
learning
(ML)
has
emerged
as
a
crucial
tool
for
enhancing
efficiency
mitigating
impacts
change.
However,
their
implementation
dual
character:
on
one
hand,
AI
facilitates
sustainable
solutions,
including
optimization,
renewable
integration
carbon
reduction;
other
training
operation
large
language
models
(LLMs)
entail
significant
potentially
undermining
neutrality
efforts.
Key
findings
include
an
analysis
237
scientific
publications
from
2010
to
2024,
which
highlights
advancements
obstacles
adoption
across
sectors,
such
construction,
transportation,
industry,
households.
The
review
showed
that
interest
in
use
ML
grown
significantly:
over
60%
documents
have
been
published
last
two
years,
with
topics
construction
forecasting
attracting
most
interest.
Most
articles
are
by
researchers
China,
India,
UK
USA,
(28–33
articles).
This
is
more
than
twice
number
around
rest
world;
58%
research
concentrated
three
areas:
engineering,
computer
science
energy.
In
conclusion,
also
identifies
areas
further
aimed
at
minimizing
negative
maximizing
its
contribution
development,
development
energy-efficient
architectures
new
methods
management.
PLoS ONE,
Год журнала:
2024,
Номер
19(4), С. e0301679 - e0301679
Опубликована: Апрель 3, 2024
Reducing
multidimensional
relative
poverty
is
one
of
the
important
issues
in
current
global
governance
field.
This
article
takes
12
ethnic
regions
China
as
research
object
and
constructs
a
measurement
system.
The
calculated
index
decomposed
according
to
provinces,
cities,
dimensions,
indicators.
Then,
Dagum
Gini
coefficient
convergence
analysis
are
used
analyze
spatiotemporal
heterogeneity
characteristics.
results
show
that
multi-dimensional
situation
various
provinces
minority
areas
has
improved
from
2012
2021,
among
which
Tibet
province
most
serious
Shaanxi
best.
According
convergence,
it
was
observed
there
no
σ-convergence
general,
absolute
β-convergence
general
southwest
northwest
regions,
northeast
region.
Based
on
this,
policy
recommendations
for
reducing
proposed
at
end
article.
Compared
with
previous
studies,
this
focuses
easily
overlooked.
Starting
dimensions
economy,
social
development,
ecological
environment,
system
been
enriched.
