Deleted Journal,
Journal Year:
2024,
Volume and Issue:
245(1)
Published: Nov. 6, 2024
In
this
paper
we
present
the
structure
and
operation
of
an
electric
heating
system,
using
energy
supplied
by
photovoltaic
panels
with
storage
in
batteries,
for
a
hybrid
solar
cooker
(600
Wp).
This
innovative
is
sustainable
alternative
to
domestic
cooking
helps
reduce
dependence
on
fossil
fuels.
The
system
uses
300
Wp
panel
24
V/180Ah
batteries
heat
resistance,
via
boost-type
DC/DC
converter
(power
block)
controlled
local
remote
regulation
(control
block).
Typical
testing
complete
over
sunny
days
panels,
during
night
periods
lack
sun,
showed
stable
at
around
225–250
W,
efficiency
90%
temperatures
350–400
°C.
All
results
obtained
respect
needs
inhabitants
specifications
projects
undertaken
work.
As
result,
use
rural
urban
homes.
Sustainable Energy Research,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: June 27, 2024
Abstract
Many
developing
countries,
particularly
in
Africa
and
Asia,
still
widely
use
traditional
cooking
methods
that
rely
on
solid
fuels
such
as
wood
charcoal.
These
inefficient
polluting
practices
have
severe
health
impacts
due
to
household
air
pollution,
they
contribute
environmental
degradation
through
deforestation
black
carbon
emissions.
This
has
driven
growing
interest
cleaner
more
sustainable
alternatives
electric
(e-cooking),
improved
biomass
cookstoves,
biogas
systems,
modern
fuel
stoves
can
reduce
emissions
consumption
while
providing
a
safer
experience.
E-cooking
emerged
promising
option
sustainability,
benefits,
energy
efficiency,
convenience,
safety,
potential
for
grid
integration,
making
it
alternative
methods.
study
followed
the
PRISMA
guidelines
systematic
reviews
assess
existing
literature
e-cooking
from
1993
2023.
In
addition,
biblioshiny
package
R
software
was
used
perform
bibliometric
analysis
identify
key
trends
evolutions.
The
results
indicate
United
Kingdom,
States,
Japan,
Australia,
China
are
top
five
countries
leading
research.
identified
areas
future
research,
optimising
solar
e-cookers
using
artificial
intelligence
techniques,
integrating
internet
of
things
automation
technologies
e-cookers,
appliances
into
smart
examining
effective
behavioural
change
interventions,
exploring
innovative
business
models.
findings
highlight
need
interdisciplinary
collaboration
among
researchers,
engineers,
social
scientists,
policymakers
address
technical,
economic,
socio-cultural,
factors
influencing
transition
e-cooking.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(7), P. e28898 - e28898
Published: March 29, 2024
This
study
uses
operational
data
from
a
180
kWp
grid-connected
solar
PV
system
to
train
and
compare
the
performance
of
single
hybrid
machine
learning
models
in
predicting
production
day-ahead,
week-ahead,
two
weeks
ahead
one
month-ahead.
The
also
analyses
trend
effect
temperature
on
production.
is
evaluated
using
R
The
integration
of
machine
learning
(ML)
in
renewable
energy
systems
has
emerged
as
a
pivotal
strategy
for
enhancing
efficiency,
forecasting
demand,
and
improving
the
stability
power
grids.
This
study
presents
comparative
analysis
adoption
application
ML
between
United
States
sub-Saharan
Africa
(SSA).
made
significant
advancements
utilizing
technologies,
leveraging
them
optimizing
grid
operations,
consumption
forecasting,
waste
management.
Conversely,
Africa,
despite
its
vast
potential,
faces
substantial
barriers
such
inadequate
infrastructure,
limited
data
availability,
insufficient
technological
capacity,
hindering
widespread
energy.
Through
critical
review
existing
literature,
this
identifies
technological,
economic,
policy-related
challenges
that
both
regions
face
integrating
into
systems.
While
benefits
from
strong
infrastructure
investment
research
development,
SSA
is
still
early
stages
adopting
ML,
with
considerable
room
growth.
findings
suggest
while
USA
been
successful
applying
to
improve
efficiency
integrate
resources,
Africa’s
by
structural
constraints,
lack
skilled
personnel,
financial
challenges.
paper
offers
policy
recommendations
African
countries
foster
greater
energy,
including
investing
educational
cross-border
collaborations.
Additionally,
can
play
key
role
supporting
nations
through
technology
transfer,
joint
ventures,
strategic
investments
overcome
sector.
In
conclusion,
transformative
opportunity
regions.
Addressing
infrastructural
States,
will
be
crucial
achieving
sustainable
efficient
global
underscores
importance
international
cooperation
tailored
frameworks
advancing
applications
developed
developing
International Journal of Sustainable Engineering,
Journal Year:
2024,
Volume and Issue:
17(1), P. 250 - 262
Published: March 18, 2024
The
use
of
electric
cooking
appliances,
also
referred
to
as
eCooking
devices,
presents
a
practical
and
sustainable
solution
for
achieving
universal
access
clean
facilities
by
2030.
A
choice
modelling
analysis
on
the
factors
that
influence
selection
an
eCooker
in
Ghana
has
been
conducted
facilitate
market
expansion
organisations
seeking
offer
services.
study
utilised
Analytical
Hierarchy
Process
(AHP),
Fuzzy-TOPSIS,
Data
Envelopment
Analysis
(DEA)
methodologies
assess
rank
cookers
based
crucial
such
kWh
consumption
rate,
efficiency,
affordability,
time-saving
features,
ergonomics,
space
utilisation
capabilities,
compatibility
with
cookware
types,
ease
cleaning
maintenance
procedures,
accessibility,
among
others.
rate
was
identified
most
critical
factor,
emphasising
significance
energy
efficiency
decision-making
process.
showed
induction
stove
optimal,
considering
both
Fuzzy-TOPSIS
DEA
evaluations.
Although
may
consume
considerable
amount
electricity,
its
performance,
other
attributes
make
it
preferred
choice.
This
systematic
approach
assessing
ranking
stoves
Ghana,
offering
valuable
insights
consumers
policymakers.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
20(3s), P. 238 - 248
Published: April 4, 2024
In
this
study,
the
optimization
of
solar
panel
systems
is
investigated
using
machine
learning
algorithms
and
Ant
Colony
optimization.
The
performance
ML
models,
such
as
Artificial
Neural
Network,
Support
Vector
Machine,
Decision
Tree,
Random
Forest,
assessed
relying
on
precision,
recall,
F1
score,
accuracy.
Furthermore,
ANN
model
combined
with
ACO
for
additional
results
experimentation
indicate
that
demonstrates
best
following
scores:
97.86%
96.50%
97.20%
98.00%
addition,
when
applied,
focuses
its
capabilities
to
predict
pressure
hitting
follows:
98.50%
97.80%
98.15%
98.80%.
given
outcomes
also
reflect
application
confusion
matrices
show
classification
each
model,
most
effective
way
parameters
optimize
system
presented
by
combination
ACO.
a
way,
importance
approaches
techniques
energy
generation
efficiency
in
renewable
indicated.
future,
extensive
research
should
be
performed
assess
experiments
large-scale
proposed
scale-up
sustainability
efforts
minimize
environmental
impact.
