Journal of Global Information Management,
Год журнала:
2024,
Номер
32(1), С. 1 - 21
Опубликована: Ноя. 10, 2024
Recent
studies
indicate
that
Artificial
Intelligence
(AI)
technology,
characterized
by
its
integration
of
information
and
communication
technology
attributes,
exerts
a
multifaceted
influence
on
the
energy
system.
The
authors
employ
Difference-in-Differences
(DID)
Triple-Difference
(DDD)
models
to
investigate
effects
AI.
research
initially
demonstrates
AI
may
exhibit
dual
attributes
constraining
structure.
Specifically,
rapid
development
tends
increase
proportion
fossil
fuel-based
electricity
generation
while
optimizing
consumption
renewable
energy.
Furthermore,
degradation
structure
stems
from
surge
in
AI,
which
capacity
is
unable
satisfy.
Lastly,
industrial
agglomeration
construction
digital
economy
have
positive
impacts
energy;
technological
innovation
aids
mitigating
negative
shocks
This
study
provides
new
perspective
role
transition.
Fully
analyzing
the
impact
and
role
of
digital
inclusive
finance
on
improvement
renewable
energy
efficiency
plays
an
important
in
realizing
long-term
sustainable
development
regional
economy.
This
research
undertakes
a
comprehensive
empirical
examination
to
investigate
influence
financial
growth
across
30
Chinese
provinces
cities,
spanning
from
2011
2021.
The
results
demonstrate
that
advancement
significantly
improves
energy.
variations
indicates
while
inclusion
markedly
enhances
both
eastern
western
areas,
its
remains
negligible
central
region.
In
addition,
our
influencing
mechanism
show
progress
science
technology,
alongside
effectiveness
services,
boosts
beneficial
effects
enhancement
efficiency.
Furthermore,
degrees
innovation
technology
services
act
as
singular
threshold
for
Our
study
provides
new
evidence
implications
fully
combination
between
efficiency,
thereby
promoting
development.
Energies,
Год журнала:
2025,
Номер
18(9), С. 2239 - 2239
Опубликована: Апрель 28, 2025
The
growing
global
energy
demand
and
the
pursuit
of
sustainability
highlight
transformative
potential
artificial
intelligence
(AI)
machine
learning
(ML)
in
systems.
This
thematic
review
explores
their
applications
generation,
transmission,
consumption,
emphasizing
role
optimizing
renewable
integration,
enhancing
operational
efficiency,
enabling
data-driven
decision-making.
By
employing
a
approach,
this
study
categorizes
analyzes
key
challenges
opportunities,
including
economic
considerations,
technological
advancements,
social
implications.
While
AI/ML
technologies
offer
significant
benefits,
adoption
developing
nations
faces
challenges,
such
as
high
upfront
costs,
skill
shortages,
infrastructure
limitations.
Addressing
these
barriers
through
capacity
building,
international
collaboration,
adaptive
policies
is
critical
to
realizing
equitable
sustainable
integration
