Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3170 - 3170
Published: June 27, 2024
The
complexities
of
high
PV
penetration
in
the
electricity
grid
Slovenia
based
on
targets
proposed
national
energy
and
climate
plan
were
explored.
Scenarios
modeled
an
increase
installation
power
from
1800
MW
2030
to
8000
2050.
They
analyzed
using
modeling
life
cycle
assessment
assess
technical
environmental
aspects
penetration.
results
showed
that
production
2200
GWh
(2030)
11,090
(2050)
unfavorable
course
excess
system,
resulting
need
for
short-term
long-term
storage
strategies
exports
electricity.
LCA
analysis
a
share
decrease
impact
category
global
warming,
which
is
higher
2050
green
scenarios
phase
out
coal
lignite
sources
(80.5%
decrease)
compared
2020
baseline
scenario.
mineral
resource
scarcity
can
be
observed
with
when
comparing
(50%)
(150%)
BAU
scenario
(2020).
Factors
such
as
impacts,
challenges,
must
considered
implementing
decarbonization
strategy.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 5504 - 5531
Published: May 22, 2024
Electricity
consumption
is
increasing
rapidly,
and
the
limited
availability
of
natural
resources
necessitates
efficient
energy
usage.
Predicting
managing
electricity
costs
challenging,
leading
to
delays
in
pricing.
Smart
appliances
Internet
Things
(IoT)
networks
offer
a
solution
by
enabling
monitoring
control
from
broadcaster
side.
Green
IoT,
also
known
as
Things,
emerges
sustainable
approach
for
communication,
data
management,
device
utilization.
It
leverages
technologies
such
Wireless
Sensor
Networks
(WSN),
Cloud
Computing
(CC),
Machine-to-Machine
(M2M)
Communication,
Data
Centres
(DC),
advanced
metering
infrastructure
reduce
promote
environmentally
friendly
practices
design,
manufacturing,
IoT
optimizes
processing
through
enhanced
signal
bandwidth,
faster
more
communication.
This
comprehensive
review
explores
advancements
smart
grids,
paving
path
sustainability.
covers
energy-efficient
communication
protocols,
intelligent
renewable
integration,
demand
response,
predictive
analytics,
real-time
monitoring.
The
importance
edge
computing
fog
allowing
distributed
intelligence
emphasized.
addresses
challenges,
opportunities
presents
successful
case
studies.
Finally,
concludes
outlining
future
research
avenues
providing
policy
recommendations
foster
advancement
IoT.
Alexandria Engineering Journal,
Journal Year:
2023,
Volume and Issue:
79, P. 105 - 115
Published: Aug. 9, 2023
The
smart
grid
is
an
innovation
that
employs
two-way
communications
to
give
innovative
services
end
consumers.
Due
the
severe
contradictions
in
this
connection,
system
may
be
target
of
numerous
cyber-attacks.
Intelligent
networks
can
protected
by
employing
intrusion
detection
systems.
IDS
increases
security
identifying
malicious
activity
networks.
However,
current
methods
have
several
areas
for
improvement,
including
a
high
false
alarm
rate
and
low
accuracy.
paper
proposes
strategy
intelligent
grids
combining
DL-based
feature-based
techniques.
For
this,
dataset
pre-processed,
pre-processing
done
utilizing
min–max
normalization.
Then,
features
mean,
median,
mode,
standard
deviation,
information
gain,
mutual
information,
correlation
coefficient,
data
percentiles,
autoregressive
are
extracted.
Next,
African
Vulture
Optimization
Algorithm
organizes
feature
selection.
Finally,
DBN-LSTM
utilized
categorization
identify
normal
attack
packets.
developed
method
attains
higher
performance
when
compared
with
other
existing
Hence,
outcomes
demonstrate
AVOA-DBN-LSTM
technique
has
reliable
potential
cybersecurity
detection.
Internet of Things,
Journal Year:
2024,
Volume and Issue:
25, P. 101086 - 101086
Published: Jan. 25, 2024
In
the
smart
grid,
it
is
critical
to
collect
dynamic
and
time-dependent
information
on
energy
demand
consumption
compare
current
supply
conditions.
The
decentral
grid
control
(DSGC)
system
manages
frequency,
a
Smart
element.
It
connects
costs
allowing
access
both
consumers
producers.
This
work
proposes
pruning
of
convolution
layers
neurons
1-dimensional
time-aware
convolutional
neural
network
(1D
CNN)
analysis
frequency
stability
determine
efficient
costs.
proposed
solution
evaluated
augmented
datasets
in
addition
two
other
publicly
available
ascertain
approach's
feasibility
various
scenarios;
simulation
demonstrated
minimal
train
prediction
time
124.37
s
17.67
efficiency
over
compared
models,
with
accuracy
99.79%
0.01
MFLOPs.
Matthew's
correlation
coefficient
was
applied
evaluate
further
performance
1D
CNN
its
applicability
scenarios.
Frontiers in Energy Research,
Journal Year:
2023,
Volume and Issue:
11
Published: Sept. 28, 2023
Intelligent
predictive
models
are
fundamental
in
peer-to-peer
(P2P)
energy
trading
as
they
properly
estimate
supply
and
demand
variations
optimize
distribution,
the
other
featured
values,
for
participants
decentralized
marketplaces.
Consequently,
DeepResTrade
is
a
research
work
that
presents
an
advanced
model
predicting
prices
given
traditional
market.
This
includes
numerous
components,
including
concept
of
P2P
systems,
long-term
short-term
memory
(LSTM)
networks,
decision
trees
(DT),
Blockchain.
utilized
dataset
with
70,084
data
points,
which
included
maximum/minimum
capacities,
well
renewable
generation,
price
communities.
The
developed
obtains
significant
performance
0.000636%
Mean
Absolute
Percentage
Error
(MAPE)
0.000975%
Root
Square
(RMSPE).
DeepResTrade’s
demonstrated
by
its
RMSE
0.016079
MAE
0.009125,
indicating
capacity
to
reduce
difference
between
anticipated
actual
prices.
performs
admirably
describing
in,
shown
considerable
R2
score
0.999998.
Furthermore,
F1/recall
scores
[1,
1,
1]
precision
all
imply
accuracy.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(6), P. 1159 - 1159
Published: March 15, 2025
The
global
energy
landscape
is
witnessing
a
transformational
shift
brought
about
by
the
adoption
of
renewable
technologies
along
with
power
system
modernisation.
Distributed
generation
(DG),
smart
grids
(SGs),
microgrids
(MGs),
and
advanced
storage
systems
(AESSs)
are
key
enablers
sustainable
resilient
future.
This
review
deepens
analysis
fulminating
change
in
systems,
detailing
growth
wind
solar
integration,
next-generation
high-voltage
direct
current
(HVDC)
transmission
systems.
Moreover,
we
address
important
aspects
such
as
monitoring,
protection,
control,
dynamic
modelling
distribution
metering
infrastructure
(AMI)
development.
Emphasis
laid
on
involvement
artificial
intelligence
(AI)
techniques
optimised
grid
operation,
voltage
stability,
integration
lifetime
resources
islanding
hosting
capacities.
paper
reviews
advancements
their
applications,
enabling
identification
opportunities
challenges
to
be
addressed
toward
achieving
modern,
intelligent,
efficient
infrastructure.
It
wraps
up
perspective
future
research
paths
well
discussion
potential
hybrid
models
that
integrate
AI
machine
learning
(ML)
distributed
(DESs)
improve
grid’s
resilience
sustainability.
