Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids
Energies,
Journal Year:
2024,
Volume and Issue:
17(17), P. 4501 - 4501
Published: Sept. 8, 2024
This
review
paper
thoroughly
explores
the
impact
of
artificial
intelligence
on
planning
and
operation
distributed
energy
systems
in
smart
grids.
With
rapid
advancement
techniques
such
as
machine
learning,
optimization,
cognitive
computing,
new
opportunities
are
emerging
to
enhance
efficiency
reliability
electrical
From
demand
generation
prediction
flow
optimization
load
management,
is
playing
a
pivotal
role
transformation
infrastructure.
delves
deeply
into
latest
advancements
specific
applications
within
context
systems,
including
coordination
resources,
integration
intermittent
renewable
energies,
enhancement
response.
Furthermore,
it
discusses
technical,
economic,
regulatory
challenges
associated
with
implementation
intelligence-based
solutions,
well
ethical
considerations
related
automation
autonomous
decision-making
sector.
comprehensive
analysis
provides
detailed
insight
how
reshaping
grids
highlights
future
research
development
areas
that
crucial
for
achieving
more
efficient,
sustainable,
resilient
system.
Language: Английский
Asset management applied in electric motors: a systematic literature review
Revista de Gestão e Secretariado (Management and Administrative Professional Review),
Journal Year:
2025,
Volume and Issue:
16(3), P. e4767 - e4767
Published: March 11, 2025
The
paper
aims
to
investigate
in
the
dynamics
between
digital
transformation
and
innovation
within
Industry
4.0
context
evolution
of
asset
management
practices
for
electric
motors.
was
carried
out
find
advantages
best
motor
using
reputable
databases
that
provide
an
analysis
bibliometric
data.
In
addition,
method
searches
new
trends,
challenges
future
directions.
It
is
used
a
main
research
question,
search
terms,
questions,
inclusion
exclusion
criteria.
this
way,
reproducibility
work
by
other
researchers
guaranteed.
To
our
knowledge,
it
first
time
these
issues
have
been
addressed
together.
results
show
innovations
as
Industrial
Internet
Things,
Machine
Learning,
Digital
Twins,
Virtual
Reality
lead
improved
reliability,
reduced
downtime,
cost-effective
maintenance
strategies,
accurate
decisions.
Finally,
seeks
contribute
ongoing
dialogue
among
researchers,
engineers,
industry
professionals.
Language: Английский