As
a
means
of
supplying
communities
and
facilities
with
dependable
sustainable
energy
in
both
grid-connected
standalone
operation
modes,
microgrids
are
gaining
importance.
The
intricate
interconnections
among
renewable
sources,
storage
systems,
loads,
as
well
the
uncertainties
fluctuation
supply
demand,
make
it
difficult
to
optimize
management
microgrids.
Using
Tabu
Search
algorithm,
metaheuristic
optimization
method
that
can
effectively
search
solution
space
avoid
becoming
stuck
local
optima,
this
paper
offers
novel
approach
Under
variety
restrictions
on
balance,
capacity,
system
stability,
we
define
problem
mixed-integer
nonlinear
programming
model
aim
reducing
total
cost
consumption
maximizing
usage
renewables.
Therefore,
applying
shows
is
effective
at
locating
excellent
solutions
quickly.
findings
demonstrate
proposed
Search-based
performs
better
terms
quality,
convergence
speed,
robustness
than
alternative
strategies.
main
assessment
algorithm's
performance
operating
modes
its
sensitivity
various
parameters.
This
work
paves
way
for
future
study
area
aids
creation
sophisticated,
systems
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET),
Journal Year:
2022,
Volume and Issue:
unknown
Published: March 3, 2022
The
power
transformer
is
the
key
element
in
electrical
grid.
failures
of
impact
critically
grid,
can
cause
energy
loss
and
blackouts.
In
production,
transmission,
distribution,
industrial
applications,
oil
immersed
most
used.
maintenance
this
equipment
highly
important
which
be
done
with
different
techniques
such
as
thermal
vibration
analysis,
frequency
analysis
using
wavelet
transform
dissolved
gas
analysis.
application
predictive
represents
an
feature
Smart
Energy
Management
System
micro
grids,
that
reduce
percentage
failure
occurrence
while
increasing
availability
prevents
This
paper
classification
based
on
data
mainly
logistic
regression,
multiclass
jungle,
decision
tree
artificial
neural
network.
diagnosis
parts-per-million
generated
oil.
results
applying
types
algorithms
shows
best
technique
to
part
a
bigger
system
monitoring
diagnostic
installed
implementation
real
time
management
requires
type
sensors
interaction
offline
database,
also
steps
integrate
algorithm
System.
Energies,
Journal Year:
2022,
Volume and Issue:
15(7), P. 2702 - 2702
Published: April 6, 2022
The
presented
article
aims
to
design
an
educational
test
bench
setup
for
smart
grids
and
renewable
energies
with
multiple
features
techniques
used
in
a
microgrid.
is
designed
students,
laboratory
engineers,
researchers,
which
enables
electrical
microgrid
system
studies
testing
of
new,
advanced
control
algorithms
optimize
the
energy
efficiency.
idea
behind
this
work
hybrid
sources,
such
as
wind
power,
solar
photovoltaic
hydroelectric
hydrogen
energy,
different
types
storage
systems
batteries,
pumped
storage,
flywheel,
integrating
loads.
user
can
visualize
state
components
each
emulated
scenario
through
open-source
software
that
interacts
communicates
using
OPC
Unified
Architecture
protocol.
researchers
validate
new
solutions
manage
behavior
grid
machine
learning
optimization
integrated
form
blocks
be
modified
improved,
then
simulate
results.
A
model-based
engineering
provided,
describes
requirements
case
bench,
respecting
frugal
innovation
there
use
low-cost
hardware
software.
users
obtain
opportunity
add
sources
loads,
change
platforms,
communicate
other
simulators
equipment.
students
understand
grids,
defect
classification,
forecasting,
optimization,
basics
production,
transmission,
consumption.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(3), P. 2168 - 2168
Published: Jan. 24, 2023
In
this
paper,
Internet
of
Things
(IoT)
and
artificial
intelligence
(AI)
are
employed
to
solve
the
issue
energy
consumption
in
a
case
study
an
education
laboratory.
IoT
enables
deployment
AI
approaches
establish
smart
systems
manage
sensor
signals
between
different
equipment
based
on
decisions.
As
result,
paper
introduces
design
investigation
experimental
building
management
system
(BMS)-based
approach
monitor
status
sensors
control
operation
loads
reduce
consumption.
The
proposed
BMS
is
built
integration
programmable
logic
controller
(PLC),
Node
MCU
ESP8266,
Arduino
Mega
2560
perform
roles
transferring
processing
data
as
well
decision-making.
employs
variety
sensors,
including
DHT11
sensor,
IR
smoke
ultrasonic
sensor.
collected
from
temperature
used
build
neural
network
(ANN)
model
forecast
inside
platform
created
by
ThingSpeak
platform,
Bylink
dashboard,
mobile
application.
results
show
that
can
publish
platforms.
addition,
demonstrate
air-conditioning,
lighting,
firefighting,
ventilation
could
be
optimally
monitored
managed
for
with
architectural
design.
Furthermore,
prove
ANN
distinct
forecasting
process
data.
Production & Manufacturing Research,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: May 7, 2024
The
link
between
digital
evolution
and
environmental
sustainability
is
reshaping
how
companies
enhance
their
processes,
contributing
to
address
circular
manufacturing
(CM).
extant
literature
does
not
explain
improve
the
tire
production
process
limit
negative
impacts,
which
are
its
most
critical
phases,
Industry
4.0
technologies
could
be
exploited
they
intervene
in
facilitate
effective
data
management.
This
research
proposes
a
framework
indicating
support
producers
reducing
ecological
footprint
of
operations.
proposed
addresses
ISO
14,046
14,067
International
Organization
for
Standardization
(ISO)
certifications.
Digital
twin
(DT)
was
chosen
as
suitable
technology.
related
further
detailed
according
data-driven
CM
principles,
providing
set
sensors
embedded
on
defining
information
gathered
through
them
requested
Smart
energy
management
systems
have
shown
lately
efficient
solutions
to
optimize
the
consumption,
maximize
productions,
predict
demand
response,
and
grid
self-diagnosis.
These
give
insights
on
behaviour
within
electrical
power
grid,
where
consumers
producers
can
real-time
key
performance
indicators
related
that
help
them
take
decisions
in
order
their
consumption.
The
of
loads
sources
is
a
critical
component
mentioned
especially
when
it
comes
decentralized
production
which
create
huge
market,
prosumers
buy
sell
green
interfacing
with
certified
agency
approve
these
transactions.
goal
this
paper
de-sign
blockchain
base
system
enable
peer-to-peer
element
design
meters
inter-actions
not
only
as
measurement
devices
but
also
digital
wallet,
energy.
This
concept
integrates
all
components
including
cybersecurity,
bidding
techniques
welfare
optimization.
A
simulation
optimization
techniques,
hashing
algorithms
interactions
smart
generate
contracts
increase
security
according
were
proposed.
With
the
increase
of
smart
buildings
in
world
mainly
hotels
with
a
quantity
700.000
world,
an
energy
management
approach
must
be
developed
order
to
prevent
high
consumption
and
put
electrical
grid
unfavorable
conditions.
Therefore,
researchers
managers
are
studying
these
building
demand
profiles
optimize
improve
efficiency
firstly
secondly
grid.
The
goal
this
paper
is
provide
different
algorithms
that
predict
building,
case
study
hotel
Shanghai,
using
machine
learning
RapidMiner
software,
such
as
Support
Vector
Machine
(SVM),
Artificial
Neural
Network
(ANN),
Decision
Tree
(DT)
Random
Forest
(RF),
describing
methodology
required
comparative
between
them.
By
finding
best-fit
algorithm,
more
investigation
would
taken
place
for
improvement
future
works.
These
can
used
simulation
software
data-driven
model,
Matlab,
ETAP,
DTS,
PSCAD,
others.
Secondly,
use
them
estimate
annual
monthly
cost
which
will
allow
find
better
solutions
power
shedding
integrating
Distributed
Energy
Resources
(DER).
Digitalization
in
mining
industry
has
become
an
important
component
nowadays
order
to
improve
the
productivity,
efficiency
while
increasing
availability
of
machines
and
different
equipment
The
use
digital
twin
as
a
feature
shown
promising
results
deal
with
its
multiple
challenges
such
maintenance,
production,
energy
consumption.
In
this
paper,
comparative
study
is
presented
developed
twins
applications
management,
manufacturing,
industrial
campus,
goal
design
conceptual
architecture
proposed
within
presenting
case
stacker
machine
experimental
open
pit
mine
Benguerir.
This
by
4
layers:
physical,
Data
pre-processing,
Edge
computing,
cloud
data,
work
on
interactions
between
these
layers
enhance
performance
machines.
elucidates
practical
result
Stacker
used
simulating
mechanism
automatism
system.
will
be
simulate
critical
scenarios
see
behavior
components
optimize
usage
reliability.
The
interest
in
electric
traction
has
reached
a
very
high
level
recent
decades,
however,
to
dominate
the
market,
many
research
efforts
are
still
devoted
this
purpose
especially
on
motors,
best
way
preserve
integrity
of
motors
vehicles
is
provide
an
on-board
diagnostic
and
prognostic
tools
ensure
availability.
Since
induction
machine
among
must
use
systems.
This
study
presents
technique
based
artificial
intelligence
approach
for
detection
broken
rotor
under
random
load.
A
dataset
healthy
motor
malfunctioning
with
bars
were
used
get
transient
current
voltage
signals
during
starting
steady
state.
data
time
domain
properties
retrieved
then
converted
using
Fast
Fourier
Transform
frequency
domain,
proceeding
preprocessing
data,
opting
supervised
learning
develop
model
evaluate
whether
motor's
operation
normal
or
abnormal.
Applied Earth Science Transactions of the Institutions of Mining and Metallurgy,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 15, 2025
Intelligent
scheduling
and
emergency
management
are
crucial
for
the
development
of
modern
mining.
However,
traditional
approaches
face
several
problems,
including
low
efficiency,
inadequate
safety
hazard
monitoring,
difficulties
in
path
planning
due
to
complex
terrain.
Therefore,
a
method
combining
improved
bidirectional
A*
algorithm
is
proposed
this
paper.
The
flexibility
accuracy
through
dual-end
search
strategy
slope
factor
optimisation
cost
function,
combined
with
dynamic
heuristic
intelligent
system
mining
area
constructed
by
digital
twin
technology.
experimental
results
show
that
superior
terms
adaptability,
23
iterations,
23.67
m
length
820
node
extensions.
success
rate
high-density
obstacle
areas
97.67%,
average
steep
93.04%.
Combined
technology,
adjustment
time
reduced
618.47
ms,
increased
95.12%,
response
45.76
s,
transportation
optimised
19.32
min
level
6
blocking
scenario,
showing
adaptability.
innovation
research
lies
combination
This
provides
an
efficient
adaptable
environment.
It
effectively
improves
efficiency
ability
technical
support
automation
intelligence.
Energies,
Journal Year:
2023,
Volume and Issue:
16(9), P. 3639 - 3639
Published: April 24, 2023
The
expansion
of
end-to-end
Industry
4.0
technologies
in
various
industries
has
caused
a
technological
shock
the
mineral
resource
sector,
wherein
itsdigital
maturity
is
lower
than
manufacturing
sector.
As
result
shock,
productivity
and
profitability
raw
materials
extraction
begun
to
lag
behind
its
deep
processing,
which,
conditions
volatile
markets,
can
provoke
sectoral
crises.
diffusion
mining
sector
(Mining
4.0)
prevent
if
they
are
implemented
all
segments,
including
quarrying
(Surface
Mining
4.0).
Surface
platform
would
connect
advanced
achievements
Fourth
Industrial
Revolution
(end-to-end
digital
artificial
intelligence
technologies,
cyber-physical
systems
unmanned
production
with
traditional
geotechnology)
without
canceling
them,
but
instead
bringing
them
new
level
productivity,
consumption,
environmental
friendliness.
In
future,
development
will
provide
response
associated
acceleration
modernization
increase
labor
which
reducing
operating
costs
extraction.
this
regard,
given
review
an
attempt
analyze
surface
transformation
over
course
covered
scientific
publications.
authors
tried
show
core
frontiers
determine
production,
economic,
social
effect
replacing
humans
processes
Particular
attention
was
paid
research
on
role
achieving
sustainable
goals.
