To
achieve
low-carbon
operation
of
distributed
multi-energy
system
(DMES)
and
enhance
its
activity
in
the
energy
market,
this
paper
proposes
a
novel
multi-objective
Stackelberg
game
model.
The
DMES
operator
(DMEO)
acts
as
leader,
guiding
users’
behavior
through
optimal
scheduling
pricing.
optimization
objectives
include
maximizing
DMEO
revenues,
minimizing
primary
consumption
carbon
emissions.
users
act
followers,
adjusting
demand
based
on
upper-level
pricing
with
objective
surplus.
flexible
DMES,
trading
response
mechanisms
are
introduced.
model
is
solved
using
non-dominated
sorting
genetic
algorithm
III
(NSGA-III),
while
lower-level
by
Gurobi
solver.
Furthermore,
robust
adjustable
measure
established
to
mitigate
impact
renewable
uncertainty.
Finally,
validity
proposed
verified
data
center
Qinghai.
Compared
traditional
model,
reduces
revenue
0.63%
but
decreases
emissions
1.64%
1.59%.
Under
framework,
efficiency
exergy
0.798
0.535,
share
34.6%.
Besides,
increasing
uncertainty
leads
lower
revenue,
higher
consumption,
significantly
reducing
efficiency.
may
provide
some
references
for
multi-stage
optimization.
Mathematics,
Год журнала:
2023,
Номер
11(6), С. 1334 - 1334
Опубликована: Март 9, 2023
Multicriteria
decision
making
(MCDM)
is
a
field
that
helps
makers
evaluate
alternatives
based
on
multiple
criteria
and
encompasses
scoring,
distance-based,
pairwise
comparison,
outranking
methods.
Recent
developments
have
aimed
to
solve
specific
problems
overcoming
the
limitations
of
previous
This
paper
proposes
new
axial-distance-based
aggregated
measurement
(ADAM)
method,
which
used
in
combination
with
best-worst
method
(BWM)
agri-food
circular
economy
(CE)-based
business
models
(BMs)
create
more
sustainable
efficient
system
for
producing
consuming
food.
nine
BMs,
were
evaluated
against
eight
criteria.
The
BWM
was
obtain
weights,
while
ADAM
final
ranking
BMs.
results
indicate
supply
chain
BM
can
bring
companies
most
significant
progress
strengthen
their
position
market.
We
concluded
effective
solving
MCDM
that,
overall,
model
an
tool
problem
defined
this
study.
main
contributions
are
development
hybrid
model,
establishment
framework
evaluation
selection
CE-based
identification
important
ones.
Abstract
A
smart
grid
integrates
communication
networks
with
the
conventional
electrical
grid.
Due
to
their
potential,
grids
are
anticipated
achieve
widespread
deployment.
key
component
of
success
and
adoption
is
reliability.
Without
knowing
users’
impressions
reliability
grid,
users
will
not
easily
accept
participate
in
it
or
its
services.
However,
very
few
studies
address
from
perspective
users.
Thus,
there
a
urgent
need
identify
factors
that
affect
user’s
viewpoint.
The
goal
this
paper
examine
user
perceptions
assess
an
effort
close
gap
literature.
This
propose
model
investigate
determine
most
crucial
grid's
based
on
Multiple-criteria
decision-making
(MCDM)
method.
Firstly,
comprehensive
literature
analysis
was
conducted
criteria
sub-criteria
used
construct
model;
then,
constructed
using
fifteen
covering
big
data,
network
systems,
efficiency
criteria;
finally,
Fuzzy
Analytic
Hierarchy
Approach
(FAHP)
fuzzy
triangular
numbers
evaluate
prioritize
criteria.
Twenty
experts
were
consulted
collect
data.
results
indicate
significance
‘Big
Data’
criterion,
closely
followed
by
‘Grid
Efficiency’
criterion.
Additionally,
discovered
‘Privacy’
‘Interoperability’
had
significant
impact
sensitivity
shows
variation
ranking
stability
robustness
results.
research
presented
study
has
practical
applications
for
academics,
engineers,
decision-makers,
stakeholders.
Processes,
Год журнала:
2023,
Номер
11(5), С. 1565 - 1565
Опубликована: Май 20, 2023
The
power
sector
may
reduce
carbon
emissions
and
reach
neutrality
by
accelerating
the
energy
transition
lowering
its
reliance
on
fossil
fuels.
However,
there
are
limitations
new
system’s
ability
to
operate
safely
steadily
due
randomness,
volatility,
intermittent
nature
of
renewable
supply.
key
solving
this
issue
is
harness
flexible
resources
that
storage
systems
(ESSs)
represent;
however,
ESSs
have
more
than
a
value
for
providing
system
flexibility.
Thus,
study
suggested
flexible,
technical,
economic,
environmental
index
based
multi-criteria
decision-making
models
evaluating
multi-dimensional
ESSs.
First,
objective
subjective
weights
obtained
using
CRITIC
model
best–worst
method;
then,
combined
minimum
relative
entropy
model.
complete
values
five
typical
then
evaluated
TOPSIS
Three
scenarios
reflect
traits
created
analyzed.
outcome
demonstrates
following:
(1)
as
continues
grow,
ESSs’
flexibility
has
become
ever
crucial;
(2)
need
increases,
electrochemical
gradually
manifests.
Energies,
Год журнала:
2024,
Номер
17(16), С. 3941 - 3941
Опубликована: Авг. 9, 2024
In
the
context
of
sustainable
development
and
global
challenges
such
as
climate
change
energy
security,
this
paper
conducts
a
bibliometric
analysis
scientific
journals
on
multi-criteria
decision-making
(MCDM)
methods
with
an
emphasis
their
applications
in
environmental
engineering.
The
study
used
CiteSpace
software
program
6.2.R6
Advanced
to
analyze
citation
networks
identify
key
publications,
authors,
research
topics.
simulations
carried
out
made
it
possible
main
centers
patterns
international
cooperation,
pointing
countries
institutions
involved
MCDM
research.
results
reveal
areas
greatest
interest
directions
for
future
These
can
support
scientists,
researchers,
policymakers
making
more
informed
decisions,
contributing
achievement
Sustainable
Development
Goals.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 40555 - 40568
Опубликована: Янв. 1, 2024
The
mission
of
blind
image
quality
evaluation
is
currently
a
challenging
computer
vision
problem.
Due
to
the
shortage
reference
images,
it
hard
for
methods
achieve
same
performance
as
full
methods.
In
addition,
current
are
difficult
effectively
forecast
scores
synthesized
distorted
images
well
real
images.
To
address
such
issues,
this
study
proposed
cyclic
generative
adversarial
network
composed
perception
and
regression
on
grounds
networks.
For
further
enhancing
predictive
aware
networks,
using
attention
blocks
adaptively
fusing
high-level
semantic
features
low-level
features.
It
extracted
content
distortion
information
from
through
an
method
inference.
And
according
different
properties
features,
adaptive
fusion
were
used
Experiments
showcased
that
Spearman
order
correlation
coefficient
Pearson
linear
obtained
by
multiple
datasets
higher
than
other
similar
At
time,
has
achieved
good
prediction
results
various
types
surpassed
accuracy
five
was
0.971,
0.963,
0.984,
0.926,
respectively.
highest
all
in
LIVE
dataset,
with
predicted
values
0.973,
0.965,
0.944,
summary,
not
only
accuracy,
but
also
had
strong
generalization
cross
dataset
testing.
This
provides
scientific
effective
research
direction
evaluation.
