SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
In
this
paper
we
consider
the
problem
of
scheduling
two
types
home
appliances:
ones
with
fixed
power
and
flexible
operation
time
others
power.
We
energy
consumption
bounds
that
depend
on
day,
which
modify
considerably
computational
complexity
appliance
problems.
Additionally,
also
take
into
account
possibility
appliances
could
be
interrupted.
The
goal
decision-making
process
is
to
minimize
electricity
bill
paid
by
users
discomfort
perceived
them,
according
a
desired-tradeoff,
subject
restrictions
involved.
Since
these
problems
turn
out
NP-hard,
describe
several
heuristics
designed,
explaining
their
foundations.
Finally,
analyze
results
obtained
for
instances
generated
present
best
algorithms
employ
different
priorities
might
have.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102188 - 102188
Published: May 3, 2024
The
home
energy
management
(HEM)
sector
is
going
through
an
enormous
change
that
includes
important
elements
like
incorporating
green
power,
enhancing
efficiency
forecasting
and
scheduling
optimization
techniques,
employing
smart
grid
infrastructure,
regulating
the
dynamics
of
optimal
trading.
As
a
result,
ecosystem
players
need
to
clarify
their
roles,
develop
effective
regulatory
structures,
experiment
with
new
business
models.
Peer-to-Peer
(P2P)
trading
seems
be
one
viable
options
in
these
conditions,
where
consumers
can
sell/buy
electricity
to/from
other
users
prior
totally
depending
on
utility.
P2P
enables
exchange
between
prosumers,
thus
provide
more
robust
platform
for
This
strategy
decentralizes
market
than
it
did
previously,
opening
up
possibilities
improving
trade
customers
Considering
above
scenarios,
this
research
provides
extensive
insight
structure,
procedure,
design,
platform,
pricing
mechanism,
approaches,
topologies
possible
futuristic
while
examining
characteristics,
pros
cons
primary
goal
determining
whichever
approach
most
appropriate
given
situation
HEMs.
Moreover,
HEMs
load
framework
simulation
model
also
proposed
analyze
network
critically,
paving
technical
directions
scientific
researchers.
With
cooperation,
age
technological
advancements
ushering
intelligent,
interconnected,
reactive
urban
environment
are
brought
life.
In
sense,
path
living
entails
reinventing
as
well
how
people
interact
perceive
dwellings
larger
city.
Finally,
work
comprehensive
overview
challenges
terms
strategies,
solutions,
future
prospects.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(23), P. 11112 - 11112
Published: Nov. 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.
Energy Conversion and Economics,
Journal Year:
2024,
Volume and Issue:
5(4), P. 259 - 279
Published: Aug. 1, 2024
Abstract
Renewable
energy‐based
microgrids
(MGs)
strongly
depend
on
the
implementation
of
energy
storage
technologies
to
optimize
their
functionality.
Traditionally,
electrochemical
batteries
have
been
predominant
means
storage.
However,
technological
advancements
led
recognition
hydrogen
as
a
promising
solution
address
long‐term
requirements
microgrid
systems.
This
study
conducted
comprehensive
literature
review
aimed
at
analysing
and
synthesizing
principal
optimization
control
methodologies
employed
in
hydrogen‐based
within
context
building
infrastructures.
A
comparative
assessment
was
evaluate
merits
disadvantages
different
approaches.
The
techniques
for
management
are
categorized
based
predictability,
deployment
feasibility,
computational
complexity.
In
addition,
proposed
ranking
system
facilitates
an
understanding
its
suitability
diverse
applications.
encompasses
deterministic,
stochastic,
cutting‐edge
methodologies,
such
machine
learning‐based
approaches,
compares
discusses
respective
merits.
key
outcome
this
research
is
classification
various
strategy
MG,
along
with
mechanism
identify
which
will
be
suitable
under
what
conditions.
Finally,
detailed
examination
advantages
strategies
controlling
optimizing
hybrid
systems
emphasis
utilization
provided.
Energies,
Journal Year:
2024,
Volume and Issue:
17(16), P. 4088 - 4088
Published: Aug. 17, 2024
Globally,
the
integration
of
electric
vehicles
(EVs)
in
transportation
sector
represents
a
significant
step
towards
achieving
environmental
decarbonization.
This
shift
also
introduces
new
demand
for
power
within
utility
grid
network.
study
focuses
on
design
and
development
grid-connected
renewable
energy
system
tailored
to
meet
EV
load
demands
Taif,
Kingdom
Saudi
Arabia
(KSA).
The
sources,
specifically
solar
photovoltaic
(SPV)
wind
turbines
(WT),
is
explored
context
economic
feasibility
reliability.
Key
considerations
include
optimizing
efficiently
handle
fluctuating
charging
while
minimizing
reliance
conventional
power.
Economic
analyses
reliability
assessments
are
conducted
evaluate
performance
proposed
system.
article
discusses
technical
sizing
hybrid
systems,
reduction,
net
present
cost
selected
location.
A
rigorous
sensitivity
analysis
performed
determine
impact
major
variables
such
as
inflation
rate,
real
discount
irradiation,
Lack
Power
Supply
Probability
(LPSP)
performance.
results
demonstrate
that
Pufferfish
Optimization
Algorithm
(PFO)
significantly
outperforms
other
metaheuristic
algorithms
documented
literature,
well
HOMER
software.
found
best
option
operating
stations
at
findings
underscore
potential
sustainable
solutions
urban
environments
like
highlighting
importance
integrating
technologies
growing
with
enhanced
efficiency
initiative
seeks
pave
way
greener
more
resilient
infrastructure,
aligning
global
efforts
clean
solutions.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102766 - 102766
Published: Aug. 24, 2024
With
the
advent
of
smart
grids,
advanced
information
infrastructures,
metering
facilities,
bidirectional
exchange
information,
and
battery
storage
home
area
networks
have
all
transformed
electricity
consumption
energy
efficiency.
There
is
a
significant
shift
in
management
structure
from
traditional
centralized
infrastructure
to
flexible
demand
side
driven
cyber-physical
power
systems
with
clean
system.
These
changes
significantly
evolved
(HEM)
space.
Consequently,
stakeholders
must
define
their
responsibilities,
create
efficient
regulatory
frameworks,
test
out
novel
commercial
strategies.
P2P
trading
appears
be
feasible
solution
these
circumstances,
allowing
users
trade
one
another
before
becoming
completely
reliant
on
utility.
offers
more
stable
platform
for
by
facilitating
between
prosumers
consumers.
This
research
proposes
generation
prediction
techniques
HEMS
optimal
using
Multi-Objective
Optimization
model.
An
enhanced
Wild
Horse
technique
was
first
used
summarize
historical
records'
qualities.
Then,
Bi-LSTM
predict
values.
Furthermore,
Grasshopper
optimization
(GHO)
approach
employed
fine-tune
model's
hyperparameters.
The
framework
offered
probabilistic
fault
evaluation
that
upholds
load
flow
balance
need
supply
continuous
operations.
It
results
an
intelligent
community
transforming
cities
into
ones,
opening
new
avenues
scientific
terms
technological
developments.
