Sustainable Cities and Society,
Год журнала:
2023,
Номер
99, С. 104934 - 104934
Опубликована: Сен. 12, 2023
Reducing
pipe
leakage
is
one
of
the
top
priorities
for
water
companies,
with
many
investing
in
higher
quality
sensor
coverage
to
improve
flow
forecasting
and
detection
leaks.
Most
research
on
this
topic
focused
through
analysis
data
from
district
metered
areas
(DMAs),
aiming
identify
bursts
after
their
occurrence.
This
study
a
step
towards
development
'self-healing'
infrastructure
systems.
In
particular,
machine
learning
deep
learning-based
algorithms
are
applied
anomalous
experienced
during
(new
leakage)
DMAs
at
various
temporal
scales,
thereby
aiding
health
monitoring
distribution
uses
dataset
over
2,000
Yorkshire,
containing
time
series
recorded
15-minute
intervals
year.
Firstly,
method
isolation
forests
used
anomalies
dataset,
which
verified
as
corresponding
entries
mains
repair
log,
indicating
occurrence
bursts.
Going
beyond
detection,
proposes
hybrid
framework
named
FLUIDS
(Forecasting
Leakage
Usual
Intelligently
Distribution
Systems).
A
recurrent
neural
network
(RNN)
mean
forecasting,
then
combined
forecasted
residuals
obtained
real-time
Kalman
filter.
While
providing
expected
day-to-day
demands,
also
aims
issue
sufficient
early
warning
any
upcoming
or
possible
leakages.
For
given
forecast
period,
can
be
compute
probability
exceeding
pre-defined
threshold,
thus
allowing
decisions
made
regarding
necessary
interventions.
inform
targeted
strategies
that
best
utilize
resources
minimize
disruptions
by
addressing
detected
predicted
burst
events.
The
proposed
statistically
assessed
compared
against
state-of-practice
minimum
night
(MNF)
methodology.
Finally,
it
concluded
performs
well
unobserved
test
both
regular
flows.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(4), С. 1231 - 1242
Опубликована: Апрель 10, 2024
This
review
paper
comprehensively
examines
smart
water
management
systems,
focusing
on
their
development,
implementation,
and
impacts
within
Africa
the
United
States.
It
delves
into
theoretical
frameworks
that
underlie
these
including
integrating
cyber-physical
sustainable
development
principles,
systems
theory
in
management.
The
further
explores
technological
innovations
driving
management,
such
as
Internet
of
Things
(IoT),
Artificial
Intelligence
(AI),
remote
sensing.
discusses
policy
regulatory
support
or
hinder
advancements
different
regions.
Additionally,
it
assesses
environmental,
social,
economic
highlighting
benefits
conservation,
improved
access
to
clean
water,
efficiency
gains.
challenges
facing
implementation
are
critically
analyzed,
technical,
financial,
obstacles.
Future
directions
for
also
discussed,
emphasizing
potential
scalability,
adaptation,
importance
cross-sectoral
international
collaboration.
concludes
by
underscoring
necessity
technology,
policy,
community
engagement
efforts
calls
research
collaboration
harness
full
addressing
global
challenges.
Keywords:
Smart
Water
Management,
Sustainable
Development,
Policy
Frameworks,
Conservation.
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(3), С. 984 - 994
Опубликована: Март 24, 2024
This
review
paper
explores
the
theoretical
constructs
of
urban
resilience
through
lens
smart
water
grids,
focusing
on
comparative
insights
between
African
and
U.S.
cities.
Urban
resilience,
a
critical
concern
in
face
climate
change
urbanization,
encompasses
capacity
systems
to
absorb,
adapt,
recover
from
various
shocks
stresses.
Integrating
advanced
technologies
such
as
sensors,
meters,
data
analytics,
grids
emerge
innovative
solutions
enhance
improved
management.
synthesizes
literature
intersections
highlighting
that
integrating
with
strategies.
It
discusses
implications
these
for
planning
policy-making,
considering
socioeconomic,
technological,
governance
dimensions,
reflects
importance
contextual
factors.
The
identifies
gaps
current
empirical
understanding,
suggesting
areas
future
research,
including
studies
interdisciplinary
approaches.
By
providing
comprehensive
overview
how
contribute
this
contributes
broader
discourse
sustainable
development
role
technology
addressing
contemporary
challenges.
Keywords:
Resilience,
Smart
Water
Grids,
Climate
Change
Adaptation,
Sustainable
Development.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(1), С. 1373 - 1382
Опубликована: Янв. 19, 2024
Integrating
the
Internet
of
Things
(IoT)
and
Artificial
Intelligence
(AI)
in
smart
water
management
revolutionizes
sustainable
resource
utilization.
This
comprehensive
review
explores
these
technologies'
benefits,
challenges,
regulatory
implications,
future
trends.
Smart
enhances
operational
efficiency,
predictive
maintenance,
conservation
while
addressing
data
security
infrastructure
investment
challenges.
Regulatory
frameworks
play
a
pivotal
role
shaping
responsible
deployment
AI
IoT,
ensuring
privacy
ethical
use.
Future
trends
include
advanced
sensors,
decentralized
systems,
quantum
computing,
blockchain
for
enhanced
security.
The
alignment
with
Sustainable
Development
Goals
(SDGs)
underscores
transformative
potential
achieving
universal
access
to
clean
water,
climate
resilience,
inclusive,
development.
As
we
embrace
technologies,
collaboration,
public
awareness,
considerations
will
guide
evolution
intelligent
equitable
systems.
Smart Cities,
Год журнала:
2022,
Номер
5(4), С. 1389 - 1408
Опубликована: Окт. 19, 2022
Smart
cities
are
an
innovative
concept
for
managing
metropolitan
areas
to
increase
their
residents’
sustainability
and
quality
of
life.
This
article
examines
the
management
evolution
energy
generation,
various
storage
systems
applications
they
serve,
infrastructure
technology’s
current
condition
future
prospects.
Additionally,
study
also
energy-related
construction
transportation
technologies.
The
Cities
Energy
Prediction
Task
Force
predicts
electrical
usage
using
STLF,
SVM,
e-learning
machines.
To
keep
a
system
working
well
throughout
year,
fossil
fuels
must
be
utilised
as
backup
source.
Technologies
can
only
benefit
if
integrated
into
city’s
infrastructure.
By
2050,
it
is
anticipated
that
global
population
will
surpass
10
billion,
with
most
people
settling
in
regions.
Between
2020
2027,
market
smart
expand
by
27.1%
annually,
from
USD
122.2
billion
652
2026.
In
2020,
Europe
account
31.8
per
cent
total
product
sales.
China’s
GDP
projected
grow
33.0
reaching
176.1
conclusion
analysis
period.
Consequently,
expanding
blooming
worldwide,
yet
there
no
permanent
standards.
Results in Engineering,
Год журнала:
2022,
Номер
15, С. 100510 - 100510
Опубликована: Июнь 25, 2022
Smart
meters
are
IoT
devices
that
play
a
central
role
in
smart
cities.
However,
consumers'
acceptance
of
these
is
crucial
for
the
meter''s
implementation
and
sustainable
use
resources.
Despite
need
to
further
understand
what
influences
meters,
only
few
studies
tackle
this
issue,
none
them
South
America.
This
article
seeks
investigate
which
factors
influence
by
consumers
Brazil
provide
insights
into
public
policies
help
meter
projects.
work
features
survey
(N
=
144)
city
Florianópolis,
capital
Santa
Catarina,
comprises
items
derived
from
research
technology
models,
mainly
UTAUT2
model.
PLS-SEM
method
used
assess
relations
on
moderation
gender,
age,
years
formal
education
respondents.
Social
Influence
estimated
as
one
main
something
not
foreseen
previous
topic.
Another
surprising
result
lack
Performance
Expectancy.
study
presents
detailed
model
based
carried
out,
specific
strategies
given
constructed
