Energy Strategy Reviews,
Journal Year:
2022,
Volume and Issue:
45, P. 101017 - 101017
Published: Dec. 13, 2022
Economic
development
and
the
comfort-loving
nature
of
human
beings
in
recent
years
have
resulted
increased
energy
demand.
Since
resources
are
scarce
should
be
preserved
for
future
generations,
optimizing
systems
is
ideal.
Still,
due
to
complexity
integrated
systems,
such
a
feat
by
no
means
easy.
Here
where
computer-aided
decision-making
can
very
game-changing
determining
optimum
point
supply
The
concept
artificial
intelligence
(AI)
machine
learning
(ML)
was
born
twentieth
century
enable
computers
simulate
humans'
capabilities.
then,
data
mining
become
increasingly
essential
areas
many
different
research
fields.
Naturally,
section
one
area
beneficial.
This
paper
uses
VOSviewer
software
investigate
review
usage
field
proposes
promising
yet
neglected
or
unexplored
which
these
concepts
used.
To
achieve
this,
2000
most
papers
addition
cited
ones
energy-related
keywords
were
studied
their
relationship
AI-
ML-related
visualized.
results
revealed
trends
from
basic
more
cutting-edge
topics
that
explored.
Results
also
showed
commercial
aspect,
patents
submitted
had
sharp
increase.
Axioms,
Journal Year:
2023,
Volume and Issue:
12(3), P. 266 - 266
Published: March 4, 2023
As
solar
energy
generation
has
become
more
and
important
for
the
economies
of
numerous
countries
in
last
couple
decades,
it
is
highly
to
build
accurate
models
forecasting
amount
green
that
will
be
produced.
Numerous
recurrent
deep
learning
approaches,
mainly
based
on
long
short-term
memory
(LSTM),
are
proposed
dealing
with
such
problems,
but
most
may
differ
from
one
test
case
another
respect
architecture
hyperparameters.
In
current
study,
use
an
LSTM
a
bidirectional
(BiLSTM)
data
collection
that,
besides
time
series
values
denoting
generation,
also
comprises
corresponding
information
about
weather.
The
research
additionally
endows
hyperparameter
tuning
by
means
enhanced
version
recently
metaheuristic,
reptile
search
algorithm
(RSA).
output
tuned
neural
network
compared
ones
several
other
state-of-the-art
metaheuristic
optimization
approaches
applied
same
task,
using
experimental
setup,
obtained
results
indicate
approach
as
better
alternative.
Moreover,
best
model
achieved
R2
0.604,
normalized
MSE
value
0.014,
which
yields
improvement
around
13%
over
traditional
machine
models.
Renewable and Sustainable Energy Reviews,
Journal Year:
2023,
Volume and Issue:
182, P. 113395 - 113395
Published: May 26, 2023
The
paper
presents
a
comprehensive
review
of
the
current
status
integrated
high
temperature
proton
exchange
membrane
fuel
cell
(HT-PEMFC)
and
methanol
steam
reformer
(MSR)
systems.
It
highlights
advantages
limitations
technology
outlines
key
areas
for
future
improvement.
A
thorough
discussion
novel
designs
optimizations
aimed
at
improving
performance
reformer,
as
well
different
MSR-HT-PEMFC
system
configurations
are
provided.
control
strategies
operation
diagnosis
also
addressed,
offering
complete
picture
design.
revealed
that
several
processes
components
should
be
improved
to
facilitate
large-scale
implementation
lengthy
startup
is
one
area
requires
improvements.
structural
design
more
compact
without
sacrificing
required,
which
could
possibly
achieved
by
recovering
water
from
fulfill
MSR's
needs
consequently
shrink
tank.
Reformer
account
both
heat
transfer
reduced
pressure
drop
enhance
system's
performance.
Finally,
research
must
concentrate
on
materials
HT-PEMFC
can
operate
in
200–300
°C
range
catalyst
efficient
MSR
process
lower
investigated
improve
integration
overall
efficiency.
Energies,
Journal Year:
2023,
Volume and Issue:
16(3), P. 1077 - 1077
Published: Jan. 18, 2023
There
is
an
ongoing,
revolutionary
transformation
occurring
across
the
globe.
This
altering
established
processes,
disrupting
traditional
business
models
and
changing
how
people
live
their
lives.
The
power
sector
no
exception
going
through
a
radical
of
its
own.
Renewable
energy,
distributed
energy
sources,
electric
vehicles,
advanced
metering
communication
infrastructure,
management
algorithms,
efficiency
programs
new
digital
solutions
drive
change
in
sector.
These
changes
are
fundamentally
supply
chains,
shifting
geopolitical
powers
revising
landscapes.
Underlying
infrastructural
components
expected
to
generate
enormous
amounts
data
support
these
applications.
Facilitating
flow
information
coming
from
system′s
prerequisite
for
applying
Artificial
Intelligence
(AI)
New
components,
flows
AI
techniques
will
play
key
role
demand
forecasting,
system
optimisation,
fault
detection,
predictive
maintenance
whole
string
other
areas.
In
this
context,
digitalisation
becoming
one
most
important
factors
sector′s
process.
Digital
possess
significant
potential
resolving
multiple
issues
chain.
Considering
growing
importance
AI,
paper
explores
current
status
technology’s
adoption
rate
review
conducted
by
analysing
academic
literature
but
also
several
hundred
companies
around
world
that
developing
implementing
on
grid’s
edge.
Environmental Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
22(3), P. 1005 - 1071
Published: Feb. 13, 2024
Abstract
The
excessive
reliance
on
fossil
fuels
has
resulted
in
an
energy
crisis,
environmental
pollution,
and
health
problems,
calling
for
alternative
such
as
biodiesel.
Here,
we
review
computational
chemistry
machine
learning
optimizing
biodiesel
production
from
waste.
This
article
presents
techniques,
characteristics,
transesterification,
waste
materials,
policies
encouraging
Computational
techniques
are
applied
to
catalyst
design
deactivation,
reaction
reactor
optimization,
stability
assessment,
feedstock
analysis,
process
scale-up,
mechanims,
molecular
dynamics
simulation.
Waste
comprise
cooking
oil,
animal
fat,
vegetable
algae,
fish
waste,
municipal
solid
sewage
sludge.
oil
represents
about
10%
of
global
production,
restaurants
alone
produce
over
1,000,000
m
3
annual.
Microalgae
produces
250
times
more
per
acre
than
soybeans
7–31
palm
oil.
Transesterification
food
lipids
can
with
a
100%
yield.
Sewage
sludge
significant
biomass
that
contribute
renewable
production.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(15), P. 8711 - 8711
Published: July 28, 2023
As
the
need
for
clean
and
sustainable
energy
sources
grows
rapidly,
green
hydrogen
ammonia
have
become
promising
of
low-carbon
important
key
players
in
transition
to
energy.
However,
production
storage
problems
make
it
hard
use
them
widely.
The
goal
this
review
paper
is
give
a
complete
overview
latest
technology
manufacture
ammonia.
This
deals
with
synthesis
storage.
It
examines
most
recent
technological
breakthroughs
areas
such
as
electrolysis,
reforming,
C-ZEROS,
HYSATA,
DAE,
sulfide,
SRBW,
well
novel
techniques,
solid-state
storage,
plasma
kinetics,
POWERPASTE.
article
history
discusses
some
newer
more
techniques
producing
ammonia,
electrochemical
biological
approaches.
study
also
looks
at
how
artificial
intelligence
(AI)
additive
manufacturing
(AM)
could
be
used
revolutionize
way
are
produced,
an
emphasis
on
AI-assisted
catalyst
design
3D-printed
reactors,
considering
major
investments
shift
energy,
Moroccan
government
programs,
they
may
affect
future
production.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(1), P. 2487 - 2799
Published: Jan. 29, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
the
renewable
energy
sector
has
emerged
as
a
transformative
force,
enhancing
efficiency
and
sustainability
systems.
This
paper
provides
comprehensive
review
application
AI
two
critical
aspects
relation
to
predictive
maintenance
optimization.
Predictive
maintenance,
enabled
by
AI,
revolutionized
landscape
predicting
preventing
equipment
failures
before
they
occur.
Utilizing
machine
learning
algorithms,
analyzes
vast
amounts
data
from
sensors
historical
performance
identify
patterns
indicative
potential
faults.
proactive
approach
not
only
minimizes
downtime
but
also
extends
lifespan
infrastructure,
resulting
substantial
cost
savings
improved
reliability.
Furthermore,
plays
pivotal
role
optimizing
output
sources.
Through
advanced
analytics
real-time
monitoring,
algorithms
can
adapt
changing
environmental
conditions,
production
resource
allocation.
ensures
maximum
yield
sources,
making
them
more
competitive
with
traditional
delves
into
specific
techniques
such
deep
learning,
neural
networks,
employed
for
optimization
various
systems
like
solar,
wind,
hydropower.
Challenges
opportunities
associated
implementing
are
discussed,
including
security,
interoperability,
need
standardized
frameworks.
synthesis
technologies
addresses
operational
challenges
contributes
global
transition
towards
sustainable
clean
solutions.
serves
valuable
researchers,
practitioners,
policymakers
seeking
insights
evolving
applications
sector.
As
technology
continues
advance,
synergies
between
poised
shape
future
paradigm.
Energy Informatics,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: March 11, 2024
Abstract
The
reduction
of
fossil
energy
sources,
the
harmful
environmental
effects
caused
by
high
consumption,
and
increase
in
share
consumption
building
sector
have
increased
need
to
pay
attention
consumption.
This
study
offers
an
intricate
examination
a
residential
locality
Florida,
with
particular
emphasis
on
architectural
design
building,
issues
related
local
environment
several
possibilities
for
enhancing
efficiency.
It
examines
influence
area
investigates
two
different
improving
first
scenario
focuses
assessing
thermal
insulation
shading,
while
second
envisions
utilizing
photovoltaic
cells
achieve
zero-energy
building.
proposed
initiatives
seek
optimize
efficiency,
save
expenses,
foster
sustainability
region.
In
this
research,
total
use
climate
case
was
validated
DesignBuilder
®
simulation
software,
results
obtained
from
software.
Then,
using
standard
various
strategies
optimizing
been
simulated.
Using
solutions
external
horizontal
awnings
installing
sheet
wall
were
investigated,
which
resulted
200
kWh
compared
normal
state.
building’s
intensity
calculated
each
solutions,
classification
determined
star
LEED
standards.
