Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
The
extent
to
which
modern
enterprises
utilize
their
resources
significantly
influences
strategy
formulation
and
even
raises
questions
about
ability
remain
competitive
in
the
market.
This
paper
finds
best
way
use
traditional
enterprise
by
using
cloud
computing.
It
does
this
creating
a
multi-objective
scheduling
model
combine
stochastic-aware
real-time
task
make
most
of
combined
raise
utilization
rate.
Based
on
dynamically
changing
resource
information,
strategic
integration
is
constructed
based
dynamic
view
adjust
development
real-time.
Company
A,
an
automobile
production
enterprise,
has
been
selected
conduct
example
study
examine
its
management
effect
after
experiencing
computing
optimization.
deployment
time
increased
optimization,
enhancing
efficiency
deployment.
In
small-scale
workflow,
rate
achieves
50%
improvement,
while
large-scale
exceeds
40%.
Compared
financial
status
A
before
solvency,
operating
capacity,
profitability
have
improved
adjustment.
satisfaction
scores
A’s
team
five
dimensions
quality
integration,
deployment,
speed
response
market
feedback,
familiarity
with
market,
reasonableness
are
all
above
4,
indicating
promising
results
management.
International Journal of Emerging Electric Power Systems,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 24, 2025
Abstract
This
project
explores
the
integration
of
battery
energy
storage
systems
(BESS)
in
residential
settings
to
optimize
management
with
a
novel
focus
on
standalone
BESS
configurations
independent
solar
photovoltaic
(PV)
systems.
The
objective
is
analyze
electricity
price
patterns,
evaluate
different
configurations,
and
develop
strategies
for
efficient
charging
discharging.
enables
homeowners
store
excess
during
low-demand
periods
discharge
it
peak
demand,
reducing
grid
reliance
saving
costs.
analysis
reveals
that
can
reduce
costs
by
leveraging
prices
averaging
0.4
DKK/kWh,
compared
exceeding
0.8
DKK/kWh.
For
June
2023,
optimal
(6:00–14:00,
18:00–22:00)
discharging
(14:00–18:00,
23:00–6:00)
were
identified,
leading
potential
cost
savings
up
30
%.
findings
highlight
transform
suggestions
such
as
net
metering
program
are
proposed
mitigate
these
challenges.
Energies,
Год журнала:
2024,
Номер
17(17), С. 4237 - 4237
Опубликована: Авг. 24, 2024
This
paper
presents
a
novel
methodology
for
modeling
hydropower
plants
(HPPs)
with
and
without
pumping
capability
in
resource
adequacy
assessment
studies.
The
proposed
method
is
based
on
the
premise
that
HPPs
should
maximize
their
contribution
to
system
within
technical
constraints
by
using
energy
reserves
upper
reservoirs
significantly
deviating
from
market
schedule.
approach
of
this
differs
conventional
operating
policies
incorporating
into
studies,
which
either
adhere
fixed
schedule
or
perform
peak
shaving,
are
inelastic
real-time
events
do
not
resort
realistic
temporal
correlations
between
natural
water
inflows
discharge
needs
cover
demand
peaks,
respectively.
focuses
large-reservoir
generic
enough
deal
both
stations
capabilities
those
without.
It
utilizes
state-of-the-art
Monte
Carlo
simulation
technique
form
availability
assets
determine
loss
load
incidents.
level
reservoir
fulfillment
retrieved
cost-optimal
power
algorithm
executed
offline
before
application
assessment.
effectiveness
demonstrated
through
its
implementation
case
study
experiencing
different
levels
adequacy,
comparing
obtained
results
various
traditional
HPP
methods
literature.
