Quantitative
evaluation
of
China's
urban
industrial
comprehensive
water
use
efficiency
is
an
important
step
to
effectively
promote
green
development
and
achieve
overall
high-quality
development.
Based
on
the
panel
data
290
cities
at
or
above
prefecture
level
in
China
from
2009
2021,
based
two
principles
improving
efficiency,
Using
SBM-DEA
model,
Dagum
Gini
coefficient,
reference
regression
kernel
density
estimation
spatial
Markov
chain
model,The
results
show
that:
first,
perspective
differences,
integrated
industry
presents
unbalanced
divergent
trend
"low
east
high
west,
low
middle
north
south".
Inter-regional
differences
are
main
source
intra-regional
polarization
also
serious;Second,
driving
factors,
population
government
public
investment
whole
country
inhibitory
effects,
GDP
technological
innovation
promoting
but
other
different
regions
have
effects.
Third,
dynamic
evolution
prediction,
water-use
Chinese
has
upward
amplitude,
with
phenomenon
"beggar-thy-neighbor"
"neighbor-friendly"
co-existing.
The
lower
type
connected
higher
probability
downward
development,
Therefore,
we
should
pay
more
attention
imbalance
regional
implement
water-saving
measures
according
local
conditions,
accelerate
integration
process
primary
repeat
transformation
economy
society.
Neural Computing and Applications,
Journal Year:
2024,
Volume and Issue:
36(21), P. 12753 - 12773
Published: May 18, 2024
Abstract
Wind
power
forecasting
techniques
have
been
well
developed
over
the
last
half-century.
There
has
a
large
number
of
research
literature
as
review
analyses.
Over
past
5
decades,
considerable
advancements
achieved
in
wind
forecasting.
A
body
produced,
including
articles
that
addressed
various
aspects
subject.
However,
these
reviews
predominantly
utilized
horizontal
comparisons
and
not
conducted
comprehensive
analysis
undertaken.
This
survey
aims
to
provide
systematic
analytical
technical
progress
made
To
accomplish
this
goal,
we
knowledge
map
published
Web
Science
database
2
decades.
We
examined
collaboration
network
development
context,
analyzed
publication
volume,
citation
frequency,
journal
publication,
author,
institutional
influence,
studied
co-occurring
bursting
keywords
reveal
changing
hotspots.
These
hotspots
aim
indicate
challenges
current
technologies,
which
is
great
significance
for
promoting
technology.
Based
on
our
findings,
commonly
used
traditional
machine
learning
advanced
deep
methods
field,
such
classical
neural
networks,
recent
Transformers,
discussed
emerging
technologies
like
language
models.
also
quantitative
advantages,
disadvantages,
accuracy,
computational
costs
methods.
Finally,
some
open
questions
trends
related
topic
were
discussed,
can
help
improve
understanding
paper
provides
valuable
insights
engineers.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 3245 - 3255
Published: March 8, 2024
This
paper
introduces
a
novel
monitoring
method
related
to
key-performance-indicators
(KPIs),
specifically
tailored
for
the
hybrid
electric
vehicle
(HEV)
powertrain
system.
The
proposed
establishes
new
KPI
that
better
reflects
performance
of
HEV
Through
application
partial
least
squares
and
contribution
plot
method,
it
excels
in
minimizing
data
scale
precisely
faults.
Diverging
from
current
methodologies,
this
demands
minimal
prior
knowledge
solely
relies
on
previously
observed
data.
simulation
results
demonstrate
method's
capability
detect
engine
motor
overheating
faults
while
accurately
diagnosing
their
root
causes.
In
summary,
innovative
marks
significant
departure
existing
approaches,
providing
robust
powerful
tool
state
IEEE Transactions on Industrial Informatics,
Journal Year:
2024,
Volume and Issue:
20(7), P. 9141 - 9151
Published: July 1, 2024
Since
wind
resources
increase
with
altitude,
many
turbines
are
installed
in
high-altitude
areas,
where
blade
icing
may
occur
frequently
cold
weather.
Ice
accretion
on
can
lead
to
severe
aerodynamic
performance
degradation
or
even
shutdown.
Furthermore,
considering
the
spatiotemporal
uncertainty
of
resources,
power
prediction
(WPP)
weather
will
be
extremely
complex.
However,
existing
methods
mostly
focus
icing-related
shutdown
detection
and
pay
little
attention
associated
WPP
during
To
address
this
problem,
a
novel
Bayesian
deep
learning-based
(BDL-WPP)
model
is
proposed.
First,
hybrid
features
related
extracted
based
actual
operational
characteristics
turbines,
whole
process
de-icing
considered
for
first
time.
Then,
BDL-WPP
proposed
features.
In
order
time
series
information
within
BDL
framework,
variational
gated
recurrent
unit
developed
implement
model.
Finally,
posterior
inference
algorithm
derived
stochastic
inference.
The
method
tested
real-world
provincial
grid,
results
show
that
its
mean
absolute
error
consistently
below
0.025
under
both
normal
conditions,
verifying
effectiveness.
Heliyon,
Journal Year:
2023,
Volume and Issue:
10(1), P. e23797 - e23797
Published: Dec. 17, 2023
Comprehensive
quantitative
assessment
of
China's
urban
industrial
water
use
efficiency
is
effectively
promote
the
green
development
important
steps
in
order
to
realize
overall
high
quality.
Between
2009
and
2021,
290
China
based
on
ground
level
above
panel
data
city,
this
paper
conducts
research
two
principles
improvement
four
models
analysis.
The
results
show
that:
First,
from
perspective
spatial
differences,
integrated
industry
presents
a
slow
uneven
upward
trend
"low
east
west,
middle
low
north
south".
Second,
driving
factors,
population
density
government
public
investment
whole
inhibit
efficiency,
while
GDP
technological
innovation
it.
Third,
dynamic
evolution
prediction,
phenomenon
"beggar-thy-neighbor"
"neighborly
kindness"
coexist.
Therefore,
should
implement
water-saving
measures
according
local
conditions,
society
improve
supervision
behavior
wasting
water,
enterprises
speed
up
integration
process
primary
repeat
so
as
comprehensive
transformation
economy
society.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(8), P. 1884 - 1884
Published: April 17, 2023
As
a
common
fault
of
transformer
winding,
inter-turn
short
circuits
cause
severe
consequences,
such
as
excessive
current
and
serious
deformation
winding.
Aiming
to
solve
the
problem
circuit
at
end-winding
middle-winding
high
frequency
transformers
(HFT),
this
paper
considers
electromagnetic
vibration
characteristics
(interleaved
winding
continuous
winding)
different
positions,
HFT
is
established
by
multi-physical
field
coupling
principle.
Coupling
equations
for
circuit,
well
force
sound
pressure
level,
are
characterize
noise
mechanism
circuits.
Furthermore,
equivalent
model
simulated
in
3D
finite
element
method
(FEM)
emulate
real
operation
investigate
impact
interleaved
under
faults.
The
short-circuit
axial
flux
leakage,
harmonic
response
acceleration
level
distribution,
obtained
when
occur
positions.
Finally,
results
show
that
effect
worse
than
it
middle-winding.
Advantages
resisting
impulse
make
superior
terms
noise.
