Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
98, P. 104870 - 104870
Published: Aug. 16, 2023
This
paper
studies
the
implementation
of
twin
transition,
i.e.,
combination
digital
technologies
and
European
Green
Deal
goals,
to
achieve
sustainable
solutions
supporting
creation
impactful,
net-zero
carbon
a
resilient
built
environment
with
focus
on
Northern
Europe,
specifically
Finland.
The
subject
was
examined
from
policies,
technology
market
perspectives.
Numerous
regulations
policies
are
driving
transition
since
many
them
include
obligatory
requirements
for
member
states.
Technologies
combinations
exist
support
in
Nordic
environment.
It
assessed
that
energy
most
important
control,
monitoring
automation
second
category
transition.
In
addition,
individual
technologies'
maturity
relevance
cold
climates
were
evaluated.
By
analyzing
case
studies,
it
found
markets
not
mature
enough
lead
but
external
boosts
needed.
However,
this
can
also
be
seen
as
an
opportunity
service
business.
results
focused
legislation
supports
international
SDGs.
Building and Environment,
Journal Year:
2020,
Volume and Issue:
183, P. 107212 - 107212
Published: Aug. 24, 2020
Indoor
climate
is
closely
related
to
human
health,
comfort
and
productivity.
Vertical
plant
wall
systems,
embedded
with
sensors
actuators,
have
become
a
promising
application
for
indoor
control.
In
this
study,
we
explore
the
possibility
of
applying
machine
learning
based
anomaly
detection
methods
vertical
systems
so
as
enhance
automation
improve
intelligence
realize
predictive
maintenance
climate.
Two
categories
anomalies,
namely
point
anomalies
contextual
are
researched.
Prediction-based
pattern
recognition-based
investigated
applied
detection.
The
results
show
that
neural
network-based
models,
specifically
autoencoder
(AE)
long
short-term
memory
encoder
decoder
(LSTM-ED)
model
surpass
others
in
terms
detecting
respectively,
therefore
can
be
deployed
into
walls
industrial
practice.
Based
on
results,
new
data
cleaning
method
proposed
prediction-based
cloud
practice
proof-of-concept.
This
study
showcases
advancements
Internet
things
fully
utilized
by
researches
building
environment
accelerate
solution
development.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(5), P. 3009 - 3009
Published: March 4, 2022
Smart
building
technology
incorporates
efficient
and
automated
controls
applications
that
use
smart
energy
products,
networked
sensors,
data
analytics
software
to
monitor
environmental
occupants’
consumption
habits
improve
buildings’
operation
performance.
technologies
are
becoming
increasingly
important
not
only
in
research
development
(R&D)
but
also
industrial
commercial
domains,
leading
a
steady
growth
their
application
the
sector.
This
study
examines
literature
on
SBEMS
published
between
2010
2020
with
systematic
approach.
It
trend
annual
number
of
studies
before
exploring
classification
publications
terms
factors
such
as
domain
SBEMS,
control
approaches,
technologies,
quality
attributes.
Recent
developments
around
management
systems
(SBEMS)
have
focused
features
provide
occupants
an
interface
monitor,
schedule,
modify
profiles
allow
utility
participate
communication
grid
through
demand
response
programs
automatic
self-report
outage
functionality.
The
explores
future
avenues,
especially
improvements
privacy
security,
interoperability.
is
suggested
technologies’
smartness
can
be
improved
help
solutions
real-time
monitoring
machine
learning
Smart and Sustainable Built Environment,
Journal Year:
2022,
Volume and Issue:
12(3), P. 584 - 606
Published: Feb. 26, 2022
Purpose
The
changes
brought
by
Industry
4.0
go
beyond
transformations
in
the
industrial
environment.
increasingly
frequent
digitization
and
robotization
of
activities
is
not
only
restricted
to
environment,
but
also
people's
daily
routine.
People
spend
a
large
part
their
time
inside
buildings,
maintaining
adequate
Indoor
Environmental
Quality
(IEQ)
an
essential
factor
for
healthy
productive
In
this
sense,
purpose
study
verify
how
Internet
Things
(IoT)
being
used
improve
indoor
through
sensors
that
instantly
measure
conditions
Design/methodology/approach
aim
paper
verify,
literature
review,
IoT
building
control
(for
energy
saving
purposes)
monitor
IEQ
order
provide
better
environment
occupants,
terms
health
comfort.
By
combining
keywords
databases,
PRISMA
method
was
select
articles
analysis,
91
were
analyzed.
Findings
main
findings
research
are:
(1)
applying
buildings
reduce
consumption;
(2)
there
interest
developing
low-cost
sensoring
devices
with
learning
approach;
(3)
Machine
Learning
methods
are
mainly
purposes
learn
about
occupants'
behavior
focusing
on
thermal
comfort;
(4)
era
requirement
help
comfort
well-being.
Originality/value
Studies
directly
correlating
limited.
This
emphasises
link
between
them,
presentation
recent
built
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Feb. 4, 2023
This
paper
proposes
a
central
energy
management
system
(EMS)
in
smart
buildings.
It
is
based
on
the
coalition
method
for
optimal
sharing
between
Game
theory
applied
to
obtain
an
allocation
of
building's
surplus
deficient
buildings
using
Shapley
value,
which
enables
unequal
distribution
demand.
The
main
objective
reducing
waste
while
preserving
generation/demand
balance.
fog
platform
with
memory
storage
applied,
handles
all
measured
data
from
through
Wi-Fi-based
communication
protocol
and
performs
EMS
program.
meter
links
fog-based
unit.
Two
scenarios
are
implemented
difference
total
energy.
Coalition
game
when
lower
than
deficient.
Also,
there
one-to-one
relationship
building;
if
larger
deficit,
extra
stored
further
usage.
proposed
tested
city
10
MATLAB
A
comparison
result
obtained
without
applying
performed.
performance
introduced
run
delay
time
size
results
show
effectiveness
building.
