Information,
Journal Year:
2023,
Volume and Issue:
14(12), P. 628 - 628
Published: Nov. 23, 2023
Natural
light
continuously
changes
its
correlated
color
temperature
(CCT)
from
sunrise
to
sunset,
providing
the
best
reproducibility
and
healthy
light.
In
lighting
field,
efforts
have
been
made
improve
Color
Rendering
Index
(CRI)
provide
quality
at
same
level
as
natural
A
unique
source
technology
that
mixes
controls
multiple
LED
sources
with
different
spectral
or
CCT
characteristics
provides
a
high
rendering
index
has
introduced.
However,
of
light,
which
CRI
while
changing
every
moment,
could
not
be
reproduced
they
were.
Therefore,
in
this
paper,
we
propose
CRI-based
smart
system
reproduces
characteristics,
reproducibility,
maintains
homeostasis
even
under
environment
CCT.
After
extracting
for
each
day
measured
highest
condition
hour
was
provided
through
matching
algorithm.
Performance
evaluation
conducted
four-channel
experimental
lighting.
For
clear
cloudy
day,
daily
higher
than
average
98
within
MAE
range
6.78
K.
Sustainable Cities and Society,
Journal Year:
2021,
Volume and Issue:
76, P. 103445 - 103445
Published: Oct. 13, 2021
The
efficiency,
flexibility,
and
resilience
of
building-integrated
energy
systems
are
challenged
by
unpredicted
changes
in
operational
environments
due
to
climate
change
its
consequences.
On
the
other
hand,
rapid
evolution
artificial
intelligence
(AI)
machine
learning
(ML)
has
equipped
buildings
with
an
ability
learn.
A
lot
research
been
dedicated
specific
applications
for
phases
a
building's
life-cycle.
reviews
commonly
take
specific,
technological
perspective
without
vision
integration
smart
technologies
at
level
whole
system.
Especially,
there
is
lack
discussion
on
roles
autonomous
AI
agents
training
boosting
process
complex
abruptly
changing
environments.
This
review
article
discusses
system-level
presents
overview
that
make
independent
decisions
building
management.
We
conclude
buildings’
adaptability
can
be
enhanced
system
through
AI-initiated
processes
using
digital
twins
as
greatest
potential
efficiency
improvement
achieved
integrating
solutions
timescales
HVAC
control
electricity
market
participation.
Energies,
Journal Year:
2023,
Volume and Issue:
16(24), P. 7988 - 7988
Published: Dec. 9, 2023
This
paper
provides
a
comprehensive
review
of
solutions
based
on
artificial
intelligence
(AI)
in
the
urban
energy
sector,
with
focus
their
applications
and
impacts.
The
study
employed
literature
methodology
to
analyze
recent
research
AI’s
role
energy-related
solutions,
covering
years
2019
2023.
authors
classified
publications
according
main
focus,
resulting
two
key
areas
AI
implementation:
residential
individual
user
applications,
infrastructure
integration
for
society.
objectives
this
are
following:
O1:
identify
trends,
emerging
technologies,
using
field;
O2:
provide
up-to-date
insights
into
use
applications;
O3:
gain
understanding
current
state
AI-driven
solutions;
O4:
explore
future
directions,
challenges
field
solutions.
contributes
deeper
transformative
potential
management,
providing
valuable
directions
researchers
practitioners
field.
Based
results,
it
can
be
claimed
that
connected
at
homes
is
used
following
areas:
heating
cooling,
lighting,
windows
blinds,
home
devices,
management
systems.
integrating
through
solutions:
enhancement
electric
vehicle
charging
infrastructure,
reduction
emissions,
development
smart
grids,
efficient
storage.
What
more,
latest
associated
implementation
include
need
balance
resident
comfort
efficiency
homes,
ensuring
compatibility
cooperation
among
various
preventing
unintended
consumption
increases
due
constant
connectivity,
renewable
sources,
coordination
consumption.
IEEE Access,
Journal Year:
2022,
Volume and Issue:
10, P. 45137 - 45178
Published: Jan. 1, 2022
Smart
lighting
has
become
a
universal
smart
product
solution,
with
global
revenues
of
up
to
US
$\$
$
5.9
billion
by
2021.
Six
main
factors
drive
the
technology:
light-emitting
diode
(LED)
lighting,
sensors,
control,
analytics,
and
intelligence.
The
Internet
things
(IoT)
concept
end
device,
platform,
application
layer
plays
an
essential
role
in
optimizing
advantages
LED
emergence
lighting.
ultimate
aim
research
is
introduce
low
energy
efficiency
high
user
comfort,
where
latter
still
infancy
stage.
This
paper
presents
systematic
literature
review
(SLR)
from
bird's
eye
view
covering
full-length
topics
on
including
issues,
implementation
targets,
technological
solutions,
prospects.
In
addition
that,
this
also
provides
detailed
extensive
overview
emerging
machine
learning
techniques
as
key
solution
overcome
complex
problems
A
comprehensive
improving
comfort
presented,
such
methodology
taxonomy
activity
recognition
promising
metrics,
light
utilization
ratio,
unmet
power
reduction
rate,
flickering
perception,
Kruithof's
curve,
correlated
color
temperature,
relative
mean
square
error.
Finally,
we
discuss
in-depth
open
issues
future
challenges
increasing
using
recognition.
Applied Sciences,
Journal Year:
2020,
Volume and Issue:
10(23), P. 8545 - 8545
Published: Nov. 29, 2020
Buildings
have
been
an
important
energy
consuming
sector,
and
inefficient
controlling
of
lights
can
result
in
wastage
buildings.
The
aim
the
study
is
to
reduce
consumption
by
implementing
a
smart
lighting
system
that
integrates
sensor
technologies,
distributed
wireless
network
(WSN)
using
ZigBee
protocol,
illumination
control
rules.
A
sensing
module
consists
occupancy
sensors,
including
passive
infrared
(PIR)
sensors
microwave
Doppler
ambient
light
sensor,
dimming
level
each
luminaire
controlled
rules
taking
into
consideration
daylight
harvesting.
performance
proposed
evaluated
two
scenarios,
metro
station
office
room,
average
savings
are
about
45%
36%,
respectively.
effects
different
factors
on
analyzed,
people
flow
density,
weather,
desired
illuminance,
number
room.
Experimental
results
demonstrate
robustness
its
ability
save
consumption.
benefit
development
intelligent
sustainable
Archives of Computational Methods in Engineering,
Journal Year:
2024,
Volume and Issue:
31(5), P. 2537 - 2556
Published: Feb. 5, 2024
Abstract
The
United
Nations
launched
sustainable
development
goals
in
2015
that
include
for
energy.
From
global
energy
consumption,
households
consume
20–30%
of
Europe,
North
America
and
Asia;
furthermore,
the
overall
consumption
has
steadily
increased
recent
decades.
Consequently,
to
meet
demand
promote
efficient
there
is
a
persistent
need
develop
applications
enhancing
utilization
buildings.
However,
despite
potential
significance
AI
this
area,
few
surveys
have
systematically
categorized
these
applications.
Therefore,
paper
presents
systematic
review
literature,
then
creates
novel
taxonomy
smart
building
utilization.
contributions
are
(a)
machine
learning
methods
utilization,
(b)
applications,
(c)
detailed
analysis
solutions
techniques
used
(electric
grid,
management
control,
maintenance
security,
personalization),
and,
finally,
(d)
discussion
on
open
issues
developments
field.
