World Electric Vehicle Journal,
Journal Year:
2024,
Volume and Issue:
16(1), P. 5 - 5
Published: Dec. 27, 2024
The
integration
of
Full
Electric
Vehicles
(FEVs)
into
the
smart
city
ecosystem
is
an
essential
step
towards
achieving
sustainable
urban
mobility.
This
study
presents
a
comprehensive
mobility
network
model
designed
to
predict
and
optimize
energy
supply
for
FEVs
within
cities.
integrates
advanced
components
such
as
Charge
Station
Control
Center
(CSCC),
charging
infrastructure,
dynamic
user
interface.
Important
aspects
include
analyzing
power
consumption,
forecasting
demand,
monitoring
State
(SoC)
FEV
batteries
using
innovative
algorithms
validated
through
real-world
applications
in
Valencia
(Spain)
Ljubljana
(Slovenia).
Results
indicate
high
accuracies
SoC
tracking
(error
<
0.05%)
demand
(MSE
~6
×
10−4),
demonstrating
model’s
reliability
adaptability
across
diverse
environments.
research
contributes
development
resilient,
efficient,
frameworks,
emphasizing
real-time
data-driven
decision-making
management.
World Electric Vehicle Journal,
Journal Year:
2025,
Volume and Issue:
16(2), P. 88 - 88
Published: Feb. 9, 2025
The
transition
to
electric
vehicles
(EVs)
presents
challenges
and
opportunities
for
the
management
of
electrical
networks.
This
paper
focuses
on
developing
evaluating
probabilistic
forecasting
algorithms
understand
predict
EV
charging
behaviours,
crucial
optimising
grid
operations
ensuring
a
balance
between
electricity
demand
generation.
Several
approaches
tailored
different
time
horizons
are
proposed
across
diverse
model
classes,
including
direct,
bottom-up,
adaptive
approaches.
In
all
approaches,
target
variable
can
be
load
curve
quantiles
from
0.1
0.9
with
increments
or
prediction
sets
coverage
80%.
Direct
learn
past
curves
using
GAMLSS
QGAM
methods.
Bottom-up
individual
session
characteristics
(arrival
time,
duration,
energy
demand)
mixture
models
before
reconstructing
curve.
Adaptive
correct
in
real-time
issued
by
direct
bottom-up
conformal
predictions.
experiments,
conducted
real-world
data
Palo
Alto,
demonstrate
effectiveness
methods
regard
metrics,
pinball
loss,
empirical
coverage,
RPS.
Overall,
results
highlight
importance
quantifying
uncertainty
forecasts
potential
management.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 17, 2025
Electric
vehicle
(EV)
integration
into
distribution
grids
introduces
significant
challenges
in
maintaining
grid
stability,
minimizing
operational
costs,
and
ensuring
overall
system
efficiency.
In
response
to
these
challenges,
a
novel
multi-objective
optimization
model
is
proposed
that
concurrently
minimizes
energy
losses,
procurement
load
shedding,
voltage
deviations
over
24-hour
period,
while
also
accounting
for
the
costs
associated
with
EV
battery
management.
The
optimized
using
Hiking
Optimization
Algorithm
(HOA),
which
leverages
an
adaptive
search
mechanism
based
on
Tobler's
Function.
This
enhances
exploration
of
solution
space
effectively
avoids
local
optima,
resulting
superior
performance
compared
conventional
methods.
Simulation
results
33-bus
demonstrated
that,
integration,
were
reduced
by
19.3%,
losses
decreased
59.7%,
shedding
was
minimized
75.4%,
improved
43.5%
relative
scenario
without
EVs.
Additionally,
eliminated
photovoltaic
(PV)
curtailment,
thereby
optimal
utilization
renewable
resources.
When
benchmarked
against
alternative
techniques,
HOA
achieved
4.4%
lower
total
cost
than
Komodo
Mlipir
(KMA)
24.5%
Particle
Swarm
(PSO).
These
clearly
demonstrate
model's
effectiveness
enhancing
optimizing
improving
approach
offers
scalable
reliable
modern
management
context
increasing
penetration
integration.
Journal of Energy Storage,
Journal Year:
2024,
Volume and Issue:
97, P. 112861 - 112861
Published: July 26, 2024
Highly
renewable
energy
systems
for
island
regions
provide
opportunities
to
investigate
fully
self-sufficient
energy-industry
systems.
New
perspectives
into
the
nature
of
100%
suggest
that
a
Power-to-X
Economy
may
emerge,
as
electricity
will
become
fundamental
carrier.
In
with
high
shares,
availability
low-cost
storage
options
is
essential
balance
shares
variable
electricity,
especially
solar
PV
and
wind
power.
While
direct
electrification
most
cost-effective
efficient
solution,
indirect
through
power-to-X
processes
required
those
demands
cannot
be
directly
electrified.
Using
LUT
Energy
System
Transition
Model,
system
transition
pathways
role
technologies
were
investigated
case
Hawaiʻi
comparing
cost-optimal
routes
reaching
net-zero
emissions
by
2040
2050
current
government
projections.
Additionally,
e-fuel
import
scenarios
are
compared
self-supply
scenarios.
By
installing
39
GW
PV,
responsible
96%
total
generation
32
TWh,
levelised
cost
in
can
reduced
27.5
€/MWh.
Total
capacities,
including
stationary
batteries,
pumped
hydro
storage,
vehicle-to-grid
reach
46
GWhcap
2050,
throughput
at
7.7%
demand.
Due
low
projected
costs
these
options,
they
only
38%
LCOE
2050.
These
results
highlight
importance
economies
such
achieve
levels
independence.
