Expert Systems,
Journal Year:
2023,
Volume and Issue:
41(1)
Published: Oct. 18, 2023
Summary
The
rapid
growth
of
the
Internet
Things
(IoT)
has
led
to
its
widespread
adoption
in
various
industries,
enabling
enhanced
productivity
and
efficient
services.
Integrating
IoT
systems
with
existing
enterprise
application
become
common
practice.
However,
this
integration
necessitates
reevaluating
reworking
current
Enterprise
Architecture
(EA)
models
Expert
Systems
(ES)
accommodate
cloud
technologies.
Enterprises
must
adopt
a
multifaceted
view
automate
aspects,
including
operations,
data
management,
technology
infrastructure.
Machine
Learning
(ML)
is
powerful
smart
automation
tool
within
EA.
Despite
potential,
need
for
dedicated
work
focuses
on
ML
applications
services
systems.
With
being
significant
field,
analyzing
IoT‐generated
IoT‐based
networks
crucial.
Many
studies
have
explored
how
can
solve
specific
IoT‐related
challenges.
These
mutually
reinforcing
technologies
allow
leverage
sensor
model
improvement,
leading
operations
practices.
Furthermore,
techniques
empower
knowledge
enable
suspicious
activity
detection
objects.
This
survey
paper
conducts
comprehensive
study
role
applications,
particularly
domains
security.
It
provides
an
in‐depth
analysis
state‐of‐the‐art
approaches
context
IoT,
highlighting
their
contributions,
challenges,
potential
applications.
Sustainable Cities and Society,
Journal Year:
2022,
Volume and Issue:
85, P. 104059 - 104059
Published: July 19, 2022
Smart
cities
attempt
to
reach
net-zero
emissions
goals
by
reducing
wasted
energy
while
improving
grid
stability
and
meeting
service
demand.
This
is
possible
adopting
next-generation
systems,
which
leverage
artificial
intelligence,
the
Internet
of
things
(IoT),
communication
technologies
collect
analyze
big
data
in
real-time
effectively
run
city
services.
However,
training
machine
learning
algorithms
perform
various
energy-related
tasks
sustainable
smart
a
challenging
science
task.
These
might
not
as
expected,
take
much
time
training,
or
do
have
enough
input
generalize
well.
To
that
end,
transfer
(TL)
has
been
proposed
promising
solution
alleviate
these
issues.
best
authors'
knowledge,
this
paper
presents
first
review
applicability
TL
for
systems
well-defined
taxonomy
existing
frameworks.
Next,
an
in-depth
analysis
carried
out
identify
pros
cons
current
techniques
discuss
unsolved
Moving
on,
two
case
studies
illustrating
use
(i)
prediction
with
mobility
(ii)
load
forecasting
sports
facilities
are
presented.
Lastly,
ends
discussion
future
directions.
Protection and Control of Modern Power Systems,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: Sept. 6, 2023
Abstract
Meteorological
changes
urge
engineering
communities
to
look
for
sustainable
and
clean
energy
technologies
keep
the
environment
safe
by
reducing
CO
2
emissions.
The
structure
of
these
relies
on
deep
integration
advanced
data-driven
techniques
which
can
ensure
efficient
generation,
transmission,
distribution.
After
conducting
thorough
research
more
than
a
decade,
concept
smart
grid
(SG)
has
emerged,
its
practice
around
world
paves
ways
use
reliable
technology.
However,
many
developing
features
evoke
keen
interest
their
improvements
be
regarded
as
next-generation
(NGSG).
Also,
deal
with
non-linearity
uncertainty,
emergence
NGSG
technology
become
great
initiative
reduce
diverse
impact
non-linearity.
This
paper
exhibits
conceptual
framework
enabling
some
intelligent
technical
operation,
including
control,
agent-based
conversion,
edge
computing
management,
internet
things
(IoT)
enabled
inverter,
agent-oriented
demand
side
etc.
study
development
is
discussed
facilitate
emerging
(DDTs)
operation
SG.
prospects
DDTs
in
adaptation
challenges
real-time
are
also
explored
this
from
various
points
view
engineering,
technology,
et
al.
Finally,
trends
towards
securing
evolution
order
studied,
while
major
future
issues
highlighted.
offer
extended
support
engineers
researchers
context
Energies,
Journal Year:
2023,
Volume and Issue:
16(10), P. 4025 - 4025
Published: May 11, 2023
The
use
of
machine
learning
and
data-driven
methods
for
predictive
analysis
power
systems
offers
the
potential
to
accurately
predict
manage
behavior
these
by
utilizing
large
volumes
data
generated
from
various
sources.
These
have
gained
significant
attention
in
recent
years
due
their
ability
handle
amounts
make
accurate
predictions.
importance
particular
momentum
with
transformation
that
traditional
system
underwent
as
they
are
morphing
into
smart
grids
future.
transition
towards
embed
high-renewables
electricity
is
challenging,
generation
renewable
sources
intermittent
fluctuates
weather
conditions.
This
facilitated
Internet
Energy
(IoE)
refers
integration
advanced
digital
technologies
such
Things
(IoT),
blockchain,
artificial
intelligence
(AI)
systems.
It
has
been
further
enhanced
digitalization
caused
COVID-19
pandemic
also
affected
energy
sector.
Our
review
paper
explores
prospects
challenges
using
provides
an
overview
ways
which
constructing
can
be
applied
order
them
more
efficient.
begins
description
role
operations.
Next,
discusses
systems,
including
benefits
limitations.
In
addition,
reviews
existing
literature
on
this
topic
highlights
used
Furthermore,
it
identifies
opportunities
associated
methods,
quality
availability,
discussed.
Finally,
concludes
a
discussion
recommendations
research
application
future
grid-driven
powered
IoE.
IET Generation Transmission & Distribution,
Journal Year:
2024,
Volume and Issue:
18(3), P. 625 - 638
Published: Jan. 13, 2024
Abstract
Energy
is
a
crucial
need
in
today's
world
for
powering
homes,
businesses,
transportation,
and
industrial
processes.
Fossil
fuels,
such
as
oil,
coal,
natural
gas,
have
been
the
primary
sources
of
energy
decades.
However,
there
growing
recognition
negative
environmental
impact
fossil
fuels
to
transition
cleaner
more
sustainable
energy.
Distributed
Resources
,
wind
solar
offer
several
benefits
including,
reducing
costs,
increasing
resiliency,
decreasing
carbon
emissions.
integration
()
into
grid
requires
advanced
communication
secure
control
strategies
ensure
stable
reliable
operations.
In
this
regard,
blockchain‐based
wireless
sensor
network
can
provide
resilience
data
transmission
facilitate
intelligent
integration,
monitoring,
smart
grid.
research,
contracts
framework
Solana
called
Advanced
Blockchain
proposed
The
scheme
enables
resilient
real‐time
monitoring
grids.
performance
evaluations
security
analysis
illustrated
that
secure,
reliable,
suitable
terms
lightweight
sharing
between
Processes,
Journal Year:
2024,
Volume and Issue:
12(2), P. 270 - 270
Published: Jan. 26, 2024
The
relentlessly
depleting
fossil-fuel-based
energy
resources
worldwide
have
forbidden
an
imminent
crisis
that
could
severely
impact
the
general
population.
This
dire
situation
calls
for
immediate
exploitation
of
renewable
to
redress
balance
between
power
consumption
and
generation.
manuscript
confers
about
management
tactics
optimize
methods
production
consumption.
Furthermore,
this
paper
also
discusses
solutions
enhance
reliability
electrical
system.
In
order
elucidate
enhanced
system,
microgrids
consisting
different
resources,
load
types,
optimization
techniques
are
comprehensively
analyzed
explore
significance
systems
(EMSs)
demand
response
strategies.
Subsequently,
role
EMS
proper
considering
advent
electric
vehicles
(EVs)
in
market.
main
reason
integrate
EVs
is
growing
hazards
climate
change
due
carbon
emissions.
Moreover,
sheds
light
on
importance
artificial
intelligence
(AI)
technological
realm
its
incorporation
into
with
notion
strengthening
existing
smart
grid
technologies
handle
uncertainties
management.
delineates
methodologies
effectively
mitigate
probability
facing
cyber-attacks
make
grids
invulnerable.
Advances in civil and industrial engineering book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 254 - 283
Published: June 30, 2024
This
chapter
delves
into
the
transformative
potential
of
smart
transportation
systems
(STS)
within
context
sustainable
urban
mobility.
As
cities
worldwide
grapple
with
dual
challenges
rapid
urbanization
and
environmental
sustainability,
STS
emerge
as
a
pivotal
solution,
harnessing
power
advanced
technologies
to
optimize
efficiency,
reduce
impact,
enhance
liability.
aims
dissect
components,
functionalities,
benefits
STS,
illustrating
how
they
serve
backbone
contemporary
practices.
The
reviews
development
technological
foundations
emphasizing
its
key
components
applications.
It
provides
examples
applications
in
traffic
management,
public
transport,
logistics,
planning
illustrate
their
real
impact.
Overall,
highlights
role
shaping
future
promoting
mobility,
improving
quality
life
around
world.
