Assessing the Role of Renewable Energy in the Sustainable Economic Growth of the European Union
Energies,
Journal Year:
2025,
Volume and Issue:
18(4), P. 760 - 760
Published: Feb. 7, 2025
The
adoption
of
renewable
energy
sources
offers
significant
economic
and
sustainability
benefits.
These
sources—solar,
wind,
hydro,
biomass,
geothermal—are
crucial
for
transitioning
to
a
sustainable,
low-pollution
model.
Key
benefits
include
job
creation,
reduced
costs,
decreased
reliance
on
imported
resources,
minimized
environmental
impact,
long-term
stability.
Renewable
also
plays
vital
role
in
achieving
goals.
By
reducing
dependence
it
enhances
security.
Countries
investing
renewables
lower
their
international
supply
chains
geopolitical
risks,
which
is
particularly
relevant
European
Union
nations
historically
dependent
imports.
Domestic
resources
help
stabilize
prices
ensure
consistent
supply.
This
study
aimed
assess
the
impact
economy
sustainable
development
Union.
Data
all
variables
were
collected
from
Eurostat
database.
unbalanced
panel
data
sample
consisted
27
EU
countries
(N
=
27),
covering
period
2001–2022
(T
22).
analysis
generalization
scientific
literature
compared
theoretical
practical
statements,
econometric
models,
least
squares
method.
Here,
hypothesis
that
“the
transition
will
have
smaller
negative
growth
when
country
more
sources”
was
accepted,
this
means
using
not
only
contributes
goals
climate
change
mitigation
but
provides
various
benefits,
including
prices,
greater
security,
sustainability.
It
essential
cleaner
economy.
Language: Английский
A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Kinza Fida,
No information about this author
Usman Abbasi,
No information about this author
Muhammad Adnan
No information about this author
et al.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102773 - 102773
Published: Aug. 24, 2024
Language: Английский
Transforming Smart Homes Via P2P Energy Trading Using Robust Forecasting and Scheduling Framework
Ali Raza,
No information about this author
Jingzhao Li,
No information about this author
Muhammad Adnan
No information about this author
et al.
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.
Language: Английский
A Survey of Challenges and Potential of Implementing a Resilient Network for Pakistan's Electric Power Infrastructure to Avoid Blackouts
Ijaz Ahmed,
No information about this author
Muhammad Adnan Khan,
No information about this author
Sajid Iqbal
No information about this author
et al.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
unknown, P. 103004 - 103004
Published: Sept. 1, 2024
Language: Английский
Advancing Climate Neutrality Through Sustainable Human Systems: Transforming Transport, Energy, and Communication in South Asia
Climate change management,
Journal Year:
2025,
Volume and Issue:
unknown, P. 227 - 242
Published: Jan. 1, 2025
Language: Английский
Resilience and Impact of the AI on Energy Efficiency Management in Renewable Energies
Karla Mariel Fernandez Fabian,
No information about this author
Antonio Caño
No information about this author
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 63 - 98
Published: Feb. 28, 2025
This
chapter
presents
an
overview
of
renewable
energies
and
artificial
intelligence,
current
status,
benefits,
challenges,
characteristics,
while
advancing,
concepts
are
deepened,
as
sample
applications
successful
cases
application
intelligence
/
or
data
science,
demonstrating
that
the
proper
use
different
tools,
models
emerging
technologies,
can
optimize
processes,
management,
even
allow
early
detection
anomalies,
allowing
preventive
efficient
measures
to
be
taken,
in
adverse
conditions,
complemented
with
some
quantitative
help
better
visualize
importance
impact
achieved.
By
improving
efficiency
resilience,
accelerates
transition
a
more
sustainable
energy
system,
supporting
global
goals
emissions
reduction
climate
change
mitigation.
Artificial
is
revolutionizing
management
systems,
optimizing
operation
contributing
faster
clean
future
Language: Английский
Analysis and research on influencing factors of interactive decision-making between electric vehicles and power grids
Wenzuo Huang,
No information about this author
Yang Liu,
No information about this author
Yuanxing Zhang
No information about this author
et al.
Journal of Computational Methods in Sciences and Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
As
the
global
energy
crisis
and
environmental
problems
become
increasingly
severe,
electric
vehicles
have
carrier
transportation
field
due
to
their
zero-emission
energy-saving
characteristics.
Large-scale
popularization
of
has
brought
dual
impacts,
increase
grid
load
fluctuations;
on
other
hand,
through
reasonable
charging
regulation
vehicle-network
interaction,
can
be
used
as
distributed
storage
resources
improve
efficiency
stability
power
operation.
However,
at
present,
research
decision-making
influencing
factors
interaction
is
still
insufficient,
it
urgent
discuss
its
key
driving
optimization
paths
in
depth.
Based
actual
data
analysis,
this
paper
makes
an
empirical
study
interactive
between
by
using
multiple
regression
model.
The
results
show
that
behavior
vehicle
owners
mainly
affected
fluctuation
electricity
prices,
convenience
renewable
penetration
rate.
At
level,
proportion
photovoltaic
installed
capacity
significantly
increased
V2G
participation
In
addition,
under
different
policy
incentives,
there
are
significant
differences
willingness
car
accept
V2G:
subsidy
policies
rate
15%–20%.
this,
puts
forward
suggestions
such
optimizing
pricing
mechanism,
improving
coverage
smart
infrastructure,
promoting
innovation
related
interaction.
Language: Английский
Offshore wind farms interfacing using HVAC-HVDC schemes: A review
Computers & Electrical Engineering,
Journal Year:
2024,
Volume and Issue:
120, P. 109797 - 109797
Published: Oct. 25, 2024
Language: Английский
Optimizing Smart Grids with Advanced AI Algorithms for Real-time Energy Management
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
581, P. 01015 - 01015
Published: Jan. 1, 2024
Using
optimization
techniques
based
on
neural
networks,
this
study
explores
how
microgrids
might
integrate
renewable
energy
sources.
Dealing
with
problems
caused
by
the
uncertainty
and
unpredictability
of
generation
is
primary
goal.
Renewable
has
been
showing
encouraging
trends,
according
to
data
analysis
spanning
many
time
periods.
From
120
kWh
140
kWh,
there
was
a
steady
rise
16.67%
in
solar
utilization.
Also,
an
18.75%
rise,
from
80
95
use
wind
power.
There
30%
50
65
output
biomass
energy.
Microgrid
load
utilization
shows
rising
demands
commercial,
industrial,
residential
areas.
Commercial
industrial
loads
climbed
15%
10%,
respectively,
while
increased
150
165
kWh.
With
predictions
at
98.4%,
95.5%,
97.3%,
made
using
networks
were
highly
congruent
actual
Language: Английский
Climate change mitigation and adaptation through optical-wireless communication networks: applications, challenges, and opportunities
Frontiers in Climate,
Journal Year:
2024,
Volume and Issue:
6
Published: Nov. 29, 2024
There
are
a
number
of
effects
that
associated
with
climate
change,
some
which
include
an
increase
in
the
frequency
severe
weather
events,
temperatures,
and
changes
patterns
rainfall.
The
Sustainable
Development
Goal
13
(SDG13)
established
by
United
Nations
emphasizes
importance
reducing
green
house
gas
emissions,
improving
resilience,
mobilizing
resources
to
effectively
tackle
change.
use
optical
wireless
communication
(OWC)
networks
is
realistic
approach
has
potential
improve
resilience
sustainable
development.
However,
order
successfully
integrate
OWC
change
mitigation
activities,
it
necessary
overcome
obstacles.
In
addition
economic
factors,
limitations
encompass
range
obstacles
intricate
legal
frameworks.
purpose
this
article
study
ways
can
contribute
adaptation
within
SGD
13,
special
emphasis
on
challenges
opportunities
related
its
implementation.
Language: Английский