Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change
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.
Язык: Английский
Smart Building Transferable Energy Scheduling Employing Reward Shaping Deep Reinforcement Learning with Demand Side Energy Management
Journal of Building Engineering,
Год журнала:
2025,
Номер
unknown, С. 112316 - 112316
Опубликована: Март 1, 2025
Язык: Английский
The G.A.R.D.E.N framework for parametric design: a literature review
Architectural Engineering and Design Management,
Год журнала:
2025,
Номер
unknown, С. 1 - 28
Опубликована: Май 19, 2025
Язык: Английский
Python-driven sensitivity analysis of geometric parameters: Evaluating the impact of geometric variations on environmental performance of large office in Boston
Green Technologies and Sustainability,
Год журнала:
2025,
Номер
unknown, С. 100222 - 100222
Опубликована: Май 1, 2025
Язык: Английский
ENERGY EFFICIENCY AND DIGITALIZATION: CHALLENGES AND OPPORTUNITIES FOR UKRAINE'S CONSTRUCTION INDUSTRY IN THE CONTEXT OF ENERGY SHORTAGES
THEORETICAL AND APPLIED ISSUES OF ECONOMICS,
Год журнала:
2024,
Номер
49, С. 150 - 166
Опубликована: Янв. 1, 2024
Against
the
backdrop
of
global
challenges
such
as
geopolitical
instability,
environmental
threats,
and
social
crises,
Ukraine's
energy
system
has
come
under
unprecedented
pressure,
requiring
tactical
responses
to
destruction
infrastructure
well
long-term
strategic
solutions
ensure
its
resilience
efficiency.
Currently,
state
efforts
focused
on
operational
measures,
including
restoration
damaged
power
plants,
support
for
decentralized
sources,
mobilizing
foreign
aid
meet
seasonal
demands.
However,
despite
existing
national
programs,
National
Energy
Efficiency
Plan,
several
unresolved
aspects
require
further
detailing
adaptation
current
conditions.
Specifically,
there
is
a
lack
concrete
steps
integrating
sources
into
building
projects,
flexible
mechanisms
operate
during
disruptions,
incentives
widespread
use
green
technologies
in
large-scale
construction.
This
research
aims
analyze
opportunities
related
enhancing
efficiency
construction
sector
through
innovative
artificial
intelligence
(AI),
machine
learning
(ML),
digital
twins,
eco-friendly
materials.
The
study
utilizes
methods
content
analysis,
comparative
situational
expert
evaluation
develop
practical
recommendations
both
companies
government
bodies.
results
indicate
that
autonomy
resilience,
particularly
twins
IoT,
are
most
effective
wartime.
Larger-scale
solutions,
smart
energy-efficient
buildings,
investment
they
may
be
implemented
post-war
period.
introduction
AI
ML
not
only
improves
but
also
helps
reduce
carbon
footprint,
which
positively
affects
at
environment
aids
adapting
climate
change.
Язык: Английский