Processes,
Год журнала:
2024,
Номер
12(12), С. 2615 - 2615
Опубликована: Ноя. 21, 2024
The
Make-up
Air
Unit
(MAU)
is
an
air
conditioning
system
which
plays
important
role
in
serving
semiconductor
cleanrooms.
It
provides
constant
temperature
and
humidity
for
fresh
through
various
sections,
including
filtration,
preheating,
precooling,
humidification,
recooling,
reheating,
supply,
high-efficiency
filtration.
However,
the
commonly
used
PID
control
method
of
MAU
indicates
a
deficiency
energy
consumption.
Hence,
this
research
introduces
proactive
energy-saving
optimization
based
on
machine
learning
intelligent
algorithms.
Firstly,
methods
are
to
train
historical
data
MAU,
resulting
data-driven
prediction
model
consumption
system.
Subsequently,
customized
genetic
algorithm
(GA)
optimize
cold
hot
water
systems.
facilitates
dynamic
adjustment
regulating
valve
opening
coil
unit,
responding
real-time
variations
outdoor
conditions.
Meanwhile,
it
ensures
that
supply
humidification
adhere
specified
requirements,
thereby
reducing
associated
with
usage
MAU.
experimental
results
indicate
proposed
can
provide
significant
conservation
Applied Sciences,
Год журнала:
2024,
Номер
14(23), С. 11112 - 11112
Опубликована: Ноя. 28, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
can
assist
in
the
effective
development
of
power
system
by
improving
reliability
resilience.
The
rapid
advancement
AI
ML
is
fundamentally
transforming
energy
management
systems
(EMSs)
across
diverse
industries,
including
areas
such
as
prediction,
fault
detection,
electricity
markets,
buildings,
electric
vehicles
(EVs).
Consequently,
to
form
a
complete
resource
for
cognitive
techniques,
this
review
paper
integrates
findings
from
more
than
200
scientific
papers
(45
reviews
155
research
studies)
addressing
utilization
EMSs
its
influence
on
sector.
additionally
investigates
essential
features
smart
grids,
big
data,
their
integration
with
EMS,
emphasizing
capacity
improve
efficiency
reliability.
Despite
these
advances,
there
are
still
additional
challenges
that
remain,
concerns
regarding
privacy
integrating
different
systems,
issues
related
scalability.
finishes
analyzing
problems
providing
future
perspectives
ongoing
use
EMS.
Advanced Energy and Sustainability Research,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 26, 2024
Climate
change
and
extreme
weather
events
impose
urgent
necessities
on
distributed
energy
systems
with
flexibility
resilience
to
survive
the
district
power
supply
systems.
Compared
centralized
systems,
show
more
superiorities
in
shifting,
fast
demand
response,
regional
allocations,
so
on.
However,
electrification
transformation‐
enabled
flexible
sharing,
smart
integration,
advanced
management
are
still
their
infancy
stages,
unsolved
but
issues,
like
large‐scale
system
planning
optimization,
trading
pricing
mechanisms,
In
this
study,
energy‐sharing
economy
renewable
integration
communities
has
been
comprehensively
reviewed.
The
“source–grid–load–storage”
framework
implemented
complex
relationships
among
supply–storage–transmission–distribution
chain.
Roles
of
sustainability
have
provided.
Considering
widely
installed
optimization
platforms
tools
provided
guide
distributed/centralized
accurate
capacity
sizing.
Results
showed
that,
multi‐directional
interactions
buildings
E‐mobility
spatiotemporal
sharing
grids
enable
high
penetration,
reliability,
etc.
Unlike
traditional
fossil
fuel‐based
plants,
renewable‐supported
(like
BIPVs,
electric
vehicles,
etc.)
emerging
for
response
survivals.
include
Electricity
market
liberalization
can
incentivize
multi‐stakeholders’
proactivity
vitality
microgrids.
Dynamic
shared
is
dependent
supply–demand
relationship,
cost–benefit
allocations
different
stakeholders
need
be
investigated
justice
fairness.
To
avoid
performance
over
or
underestimations,
approaches
highly
necessary
optimization.
Research
results
pave
paths
upcoming
studies
urban
planning,
design,
efficiency
low
carbon
emissions
through
joint
collaborations
from
economically
incentivized
participators.
