A synergistic approach based on fuzzy hybrid best–worst method and scenario planning to optimize biogas strategies
Clean Technologies and Environmental Policy,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 21, 2025
Язык: Английский
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Energies,
Год журнала:
2025,
Номер
18(5), С. 1136 - 1136
Опубликована: Фев. 25, 2025
Accurate
and
reliable
wind
speed
prediction
plays
a
significant
role
in
ensuring
the
reasonable
scheduling
of
power
resources.
However,
sequences
often
exhibit
complex
characteristics
such
as
instability
volatility,
which
create
substantial
challenges
for
prediction.
In
order
to
cope
with
these
challenges,
multi-step
method
based
on
secondary
decomposition
(SD)
techniques
deep
learning
models
is
proposed
this
paper.
First,
original
signal
was
decomposed
into
multiple
by
using
two
techniques,
multi-scale
wavelet
spectrum
analysis
(MWPSA)
variational
mode
(VMD).
Second,
model
constructed
combining
convolutional
neural
networks
(CNNs),
bidirectional
long
short-term
memory
(BiLSTM)
networks,
attention
mechanism
perform
predicting
each
sequence,
parameters
were
optimized
particle
swarm
optimization
(PSO)
algorithm.
Ultimately,
results
from
all
combined
generate
final
The
predictive
performance
evaluated
real
data
collected
farm
China.
Experimental
show
that
significantly
outperforms
other
comparison
prediction,
highlights
its
accuracy
reliability.
Язык: Английский
Design of a meta-heuristic artificial intelligence (AI) model for an optimal photovoltaic module cooling system
Deleted Journal,
Год журнала:
2025,
Номер
7(4)
Опубликована: Март 27, 2025
Язык: Английский
Mapping the Water-Environment Nexus for Ecological Sensitivity in Northern Jiangsu: Insights for Sustainable Ecosystem Management
Liping Yin,
Jiao Wu,
Xiaoqiao Qin
и другие.
Desalination and Water Treatment,
Год журнала:
2025,
Номер
unknown, С. 101170 - 101170
Опубликована: Апрель 1, 2025
Язык: Английский
Reactive Power Planning Based on Novel Voltage Stability Index Including Renewable Energy Resources
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 2, 2025
Abstract
Voltage
instability
problem
in
power
system
network
is
one
of
the
main
issues
to
prevent
voltage
collapse
during
both
normal
and
contingency
cases.
Reactive
planning
performed
enhance
stability
(N-1)
operation
using
novel
index.
The
proposed
index
has
been
evaluated
identify
weak
buses
allocate
reactive
compensator
insure
bus
level
within
limits
improve
stability.
simple
algebraic
equation
with
no
use
for
any
differential
can
be
included
as
objective
function
optimal
planning.
applied
modified
IEEE
9-bus
14-bus
systems
including
renewable
energy
such
hydro,
wind
turbines
PV-
solar
cells.
Using
DIgSILENT
software
investigate
simulation
results.
Язык: Английский
Cube-based sunlight system design – A joint optimization model for installation and allocation under stochastic environments
Energy Conversion and Management,
Год журнала:
2025,
Номер
336, С. 119882 - 119882
Опубликована: Май 10, 2025
Язык: Английский
An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
Energies,
Год журнала:
2024,
Номер
17(18), С. 4615 - 4615
Опубликована: Сен. 14, 2024
Accurate
wind
speed
forecasting
is
crucial
for
the
efficient
operation
of
renewable
energy
platforms,
such
as
turbines,
it
facilitates
more
effective
management
power
output
and
maintains
grid
reliability
stability.
However,
inherent
variability
intermittency
present
significant
challenges
achieving
precise
forecasts.
To
address
these
challenges,
this
study
proposes
a
novel
method
based
on
Complete
Ensemble
Empirical
Mode
Decomposition
with
Adaptive
Noise
(CEEMDAN)
deep
learning-based
Long
Short-Term
Memory
(LSTM)
network
forecasting.
In
proposed
method,
CEEMDAN
utilized
to
decompose
original
signal
into
different
modes
capture
multiscale
temporal
properties
patterns
speeds.
Subsequently,
LSTM
employed
predict
each
subseries
derived
from
process.
These
individual
predictions
are
then
combined
generate
overall
final
forecast.
The
validated
using
real-world
data
Austria
Almeria.
Experimental
results
indicate
that
achieves
minimal
mean
absolute
percentage
errors
0.3285
0.1455,
outperforming
other
popular
models
across
multiple
performance
criteria.
Язык: Английский
Novel Multi-Criteria Decision Analysis Based on Performance Indicators for Urban Energy System Planning
Energies,
Год журнала:
2024,
Номер
17(20), С. 5207 - 5207
Опубликована: Окт. 19, 2024
Urban
energy
systems
planning
presents
significant
challenges,
requiring
the
integration
of
multiple
objectives
such
as
economic
feasibility,
technical
reliability,
and
environmental
sustainability.
Although
previous
studies
have
focused
on
optimizing
renewable
systems,
many
lack
comprehensive
decision
frameworks
that
address
complex
trade-offs
between
these
in
urban
settings.
Addressing
this
study
introduces
a
novel
Multi-Criteria
Decision
Analysis
(MCDA)
framework
tailored
for
evaluation
prioritization
scenarios
contexts,
with
specific
application
to
city
Bozen-Bolzano.
The
proposed
integrates
various
performance
indicators
provide
assessment
tool,
enabling
planners
make
informed
decisions
balance
different
strategic
priorities.
At
core
is
Technique
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS),
which
employed
systematically
rank
based
their
proximity
an
ideal
solution.
This
method
allows
clear,
quantifiable
comparison
diverse
strategies,
facilitating
identification
best
align
city’s
overall
objectives.
flexibility
MCDA
framework,
particularly
through
adjustable
criteria
weights
TOPSIS,
it
accommodate
shifting
priorities
planners,
whether
they
emphasize
economic,
environmental,
or
outcomes.
study’s
findings
underscore
importance
holistic
approach
planning,
where
are
inevitable
but
can
be
managed
effectively
structured
decision-making
process.
Finally,
addresses
key
gaps
literature
providing
flexible
adaptable
tool
replicated
contexts
support
transition
toward
100%
systems.
Язык: Английский
Metais de alta entropia na produção de hidrogênio verde: uma breve revisão sobre eletrocatalisadores e sua eficiência em eletrólise da água
José Igor Gonçalves da Silva,
Fagner Campos dos Santos,
Clarice Cardoso Soares
и другие.
OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA,
Год журнала:
2024,
Номер
22(8), С. e6451 - e6451
Опубликована: Авг. 27, 2024
Este
artigo
revisa
o
uso
de
metais
alta
entropia
(MAE)
como
eletrocatalisadores
na
produção
hidrogênio
verde
por
eletrólise
da
água.
A
introdução
destaca
a
importância
encontrar
catalisadores
eficientes
para
reduzir
sobrepotencial
e
melhorar
viabilidade
econômica
eletrólise.
O
referencial
teórico
explora
eficiência
dos
MAE
em
comparação
com
tradicionais,
abordando
suas
propriedades
estruturais
catalíticas.
metodologia
do
estudo
se
concentra
análise
avaliação
disponíveis
literatura
comercialmente
acessíveis,
através
caracterização
estrutural
microestrutural,
além
testes
desempenho
catalítico.
inclui
baseados
nobres,
platina,
uma
econômica.
conclusão
aponta
que
os
têm
potencial
significativo
superar
limitações
oferecendo
alternativa
mais
eficiente
verde.
Geometric Evaluation of the Hydro-Pneumatic Chamber of an Oscillating Water Column Wave Energy Converter Employing an Axisymmetric Computational Model Submitted to a Realistic Sea State Data
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(9), С. 1620 - 1620
Опубликована: Сен. 11, 2024
In
this
research,
considering
the
air
methodology,
an
axisymmetric
model
was
developed,
validated,
and
calibrated
for
numerical
simulation
of
Oscillating
Water
Column
(OWC)
converter
subjected
to
a
realistic
sea
state,
representative
Cassino
beach,
in
south
Brazil.
To
do
so,
Finite
Volume
Method
(FVM)
used,
through
Fluent
software
(Version
18.1),
airflow
inside
hydro-pneumatic
chamber
turbine
duct
OWC.
Furthermore,
influence
geometric
parameters
on
available
power
OWC
evaluated
Constructal
Design
combined
with
Exhaustive
Search.
For
this,
search
space
100
configurations
defined
by
means
variation
two
degrees
freedom:
ratio
between
height
diameter
(H1/L1)
smallest
base
connection,
whose
surface
revolution
has
trapezoidal
shape,
(H2/L2).
The
(H3/L3)
kept
constant.
results
indicated
that
highest
achieved
lowest
values
H1/L1
H2/L2,
optimal
case
being
obtained
=
0.1
H2/L2
0.81,
achieving
839
times
greater
than
worst
case.
found
are
impractical
real
devices,
making
it
necessary
limit
converters
500
kW
make
assessment
closer
reality;
thus,
15.5
case,
these
consistent
other
studies
developed.
As
theoretical
recommendation
practical
purposes,
one
can
infer
over
OWC’s
H2/L2.
Язык: Английский