Characterization and Application of Nanomaterials,
Год журнала:
2024,
Номер
7(1), С. 4226 - 4226
Опубликована: Фев. 1, 2024
Graphene,
an
innovative
nanocarbon,
has
been
discovered
as
a
significant
technological
material.
Increasing
utilization
of
graphene
moved
research
towards
the
development
sustainable
green
techniques
to
synthesize
and
related
nanomaterials.
This
review
article
is
basically
designed
highlight
sustainability
aspects
graphene.
Consequently,
vision
presented
for
nanocomposites.
Environmentally
production
ensuing
nanomaterials
studied.
The
formation
graphene,
oxide,
reduced
other
derivatives
synthesized
using
ecological
carbon
sources,
solvents,
non-toxic
reagents,
routes.
Furthermore,
conversion
industrial
polymers
recycled
In
addition,
have
also
used
form
method.
implication
in
energy
systems
investigated.
Specifically,
high
specific
capacitance
retention
were
observed
graphene-based
supercapacitor
systems.
Subsequently,
may
act
multi-functional,
performance,
nanomaterial
with
low
weight,
price,
environmental
friendliness
engineering
storage
applications.
However,
existing
challenges
regarding
advanced
material
design,
processing,
recyclability,
commercial
scale
need
be
overcome
unveil
true
sectors.
Energies,
Год журнала:
2024,
Номер
17(6), С. 1270 - 1270
Опубликована: Март 7, 2024
Wind
prediction
has
consistently
been
in
the
spotlight
as
a
crucial
element
achieving
efficient
wind
power
generation
and
reducing
operational
costs.
In
recent
years,
with
rapid
advancement
of
artificial
intelligence
(AI)
technology,
its
application
field
made
significant
strides.
Focusing
on
process
AI-based
modeling,
this
paper
provides
comprehensive
summary
discussion
key
techniques
models
data
preprocessing,
feature
extraction,
relationship
learning,
parameter
optimization.
Building
upon
this,
three
major
challenges
are
identified
prediction:
uncertainty
data,
incompleteness
complexity
learning.
response
to
these
challenges,
targeted
suggestions
proposed
for
future
research
directions,
aiming
promote
effective
AI
technology
address
issues
therein.
Protection and Control of Modern Power Systems,
Год журнала:
2024,
Номер
9(2), С. 138 - 146
Опубликована: Март 1, 2024
The
calculation
of
the
indirect
carbon
emission
is
essential
for
power
system
policy
making,
market
development,
and
grid
planning.
embedded
emissions
electricity
are
commonly
calculated
by
flow
theory.
However,
procedure
time-consuming,
especially
a
country
with
500–1000
thousand
nodes,
making
it
challenging
to
obtain
nationwide
intensity
precisely.
Additionally,
requires
gather
all
data
high
classified
levels
from
different
companies,
which
can
prevent
sharing
cooperation
among
companies.
This
paper
proposes
distributed
computing
algorithm
that
reduce
time
consumption
provide
privacy
protection.
core
idea
utilize
sparsity
nodes'
matrix
partition
into
parallel
sub-procedures
executed
in
multiple
terminals.
structure
regional
transformed
irreversibly
protection,
when
transmitted
between
A
1-master-and-N-slave
layout
adopted
verify
method.
suitable
large
companies
headquarter
branches
provinces,
such
as
State
Grid
Corporation
China.
Protection and Control of Modern Power Systems,
Год журнала:
2024,
Номер
9(3), С. 82 - 97
Опубликована: Март 26, 2024
This
paper
investigates
a
double
auction-based
peer-to-peer
(P2P)
energy
trading
market
for
community
of
renewable
prosumers
with
private
information
on
reservation
price
and
quantity
to
be
traded.
A
novel
competition
padding
auction
(CPA)
mechanism
P2P
is
proposed
address
the
budget
deficit
problem
while
holding
advantages
widely-used
Vickrey-Clarke-Groves
mechanism.
To
illustrate
theoretical
properties
CPA
mechanism,
sufficient
conditions
are
identified
truth-telling
equilibrium
surplus
exist,
further
proving
its
asymptotical
economic
efficiency.
In
addition,
implemented
through
consortium
blockchain
smart
contracts
create
safer,
faster,
larger
markets.
The
embedded
into
consensus
protocols
high
efficiency,
motivates
manage
blockchain.
Case
studies
carried
out
show
effectiveness
method.
Processes,
Год журнала:
2024,
Номер
12(4), С. 837 - 837
Опубликована: Апрель 20, 2024
The
primary
function
of
a
mine
hoist
is
the
transportation
personnel
and
equipment,
serving
as
crucial
link
between
underground
surface
systems.
proper
functioning
key
components
such
work
braking
safety
essential
for
ensuring
both
thereby
playing
critical
role
in
safe
operation
coal
mines.
As
mining
operations
extend
to
greater
depths,
they
introduce
heightened
challenges
transportation,
compounded
by
increased
equipment
loss.
Consequently,
there
pressing
need
enhance
protocols
safeguard
materials.
Traditional
maintenance
repair
methods,
characterized
routine
inspections
scheduled
downtime,
often
fall
short
addressing
emerging
issues
promptly,
leading
production
delays
risks
personnel.
This
underscores
necessity
adopting
predictive
strategies,
leveraging
digital
twin
models
anticipate
prevent
potential
faults
hoists.
In
summary,
implementation
techniques
grounded
technology
represents
proactive
scientifically
rigorous
approach
continued
hoists
amidst
evolving
deepening
operations.
this
study,
we
propose
integration
CNN-LSTM
algorithm
within
framework
predicting
Utilizing
software
AMESim
2019
MATLAB
2016b,
conduct
joint
simulations
system.
Subsequently,
simulation
model,
establish
fault
diagnosis
platform
Finally,
employing
network
forecast
failures
Experimental
findings
demonstrate
effectiveness
our
proposed
algorithm,
achieving
prediction
accuracy
95.35%.
Comparative
analysis
against
alternative
algorithms
confirms
superior
performance
approach.
Protection and Control of Modern Power Systems,
Год журнала:
2024,
Номер
9(3), С. 142 - 156
Опубликована: Март 26, 2024
The
rapid
development
of
cyber
technology
and
the
increase
flexible
resources
have
transformed
distribution
network
into
a
cyber-physical
system,
while
accompanying
multidimensional
uncertainties
brought
new
planning
challenges.
In
this
paper,
an
innovative
approach
is
proposed
to
effectively
leverage
distributed
considering
impact
coupling
in
planning.
A
integrated
model
proposed,
effects
spatial-temporal
multinetwork
coupling.
Specifically,
three-layer
optimization
established
analyzed
by
simulate
anneal-particle
swarm
algorithm.
upper
layer
achieves
location
configuration
energy
storage
systems
smart
terminal
units.
middle
optimizes
data
load
migration
strategy
using
solve
voltage
exceeding
problem
caused
high
penetration
power
access,
lower
side
communication
topology,
improving
convergence
speed
control
performance
network.
Then,
iteratively
with
objective
functions
including
total
cost,
operation
excess
loss
performance.
Finally,
effectiveness
economy
scheme
verified
compared
traditional
methods.
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1075 - 1075
Опубликована: Янв. 28, 2025
Sustainability
refers
to
a
development
approach
that
meets
the
needs
of
present
generation
without
compromising
ability
future
generations
meet
their
own
needs.
Solar
energy
is
an
inexhaustible
and
renewable
resource.
From
perspective
resource
utilization,
solar
power
has
high
degree
sustainability.
Therefore,
one
most
important
ways
transform
structure
promote
sustainable
economy
society,
it
great
significance
for
promoting
construction
resource-conserving
environmentally
friendly
society.
However,
resources
also
exhibit
strong
unpredictability;
therefore,
this
paper
proposes
novel
artificial
intelligence
(AI)
model
short-term
irradiance
prediction
in
photovoltaic
generation.
Leveraging
ProbSparse
attention
mechanism
within
encoder-decoder
architecture,
AI
efficiently
captures
both
short-
long-term
dependencies
input
sequence.
The
dingo
algorithm
innovatively
redesigned
optimize
hyperparameters
proposed
model,
enhancing
convergence.
Data
preprocessing
involves
feature
selection
based
on
mutual
information,
multiple
imputations
data
cleaning,
median
filtering.
Evaluation
metrics
include
mean
absolute
error
(MAE),
root
square
(RMSE),
coefficient
determination
(R2).
demonstrates
improved
efficiency
robust
performance
prediction,
contributing
advancements
management
electrical
systems.
