Biofuels Bioproducts and Biorefining,
Год журнала:
2024,
Номер
18(2), С. 567 - 593
Опубликована: Фев. 5, 2024
Abstract
Biochar
is
emerging
as
a
potential
solution
for
biomass
conversion
to
meet
the
ever
increasing
demand
sustainable
energy.
Efficient
management
systems
are
needed
in
order
exploit
fully
of
biochar.
Modern
machine
learning
(ML)
techniques,
and
particular
ensemble
approaches
explainable
AI
methods,
valuable
forecasting
properties
efficiency
biochar
properly.
Machine‐learning‐based
forecasts,
optimization,
feature
selection
critical
improving
techniques.
In
this
research,
we
explore
influences
these
techniques
on
accurate
yield
range
sources.
We
emphasize
importance
interpretability
model,
improves
human
comprehension
trust
ML
predictions.
Sensitivity
analysis
shown
be
an
effective
technique
finding
crucial
characteristics
that
influence
synthesis
Precision
prognostics
have
far‐reaching
ramifications,
influencing
industries
such
logistics,
technologies,
successful
use
renewable
These
advances
can
make
substantial
contribution
greener
future
encourage
development
circular
biobased
economy.
This
work
emphasizes
using
sophisticated
data‐driven
methodologies
synthesis,
usher
ecologically
friendly
energy
solutions.
breakthroughs
hold
key
more
environmentally
future.
Energies,
Год журнала:
2022,
Номер
15(19), С. 6984 - 6984
Опубликована: Сен. 23, 2022
Swift
population
growth
and
rising
demand
for
energy
in
the
21st
century
have
resulted
considerable
efforts
to
make
electrical
grid
more
intelligent
responsive
accommodate
consumers’
needs
better
while
enhancing
reliability
efficiency
of
modern
power
systems.
Internet
Things
(IoT)
has
appeared
as
one
enabling
technologies
smart
grids
by
delivering
abundant
cutting-edge
solutions
various
domains,
including
critical
infrastructures.
As
IoT-enabled
devices
continue
flourish,
major
challenges
is
security
issues,
since
IoT
are
connected
through
Internet,
thus
making
vulnerable
a
diverse
range
cyberattacks.
Given
possible
cascading
consequences
shutting
down
system,
cyberattack
on
would
disastrous
implications
stability
all
grid-connected
Most
gadgets
our
homes,
workplaces,
hospitals,
trains
require
electricity
run.
Therefore,
entire
subject
cyberattacks
when
single
device
hacked.
Such
attacks
supplies
may
bring
cities
standstill,
resulting
massive
economic
losses.
result,
an
important
element
address
before
large-scale
deployment
IoT-based
In
this
report,
first,
we
review
architecture
infrastructure
grids;
then,
focus
issues
regarding
their
implementation.
Lastly,
main
outcome
study,
highlight
advanced
that
can
help
be
resilient
secure
overcoming
existing
cyber
physical
attacks.
regard,
future,
broad
implementation
data
transmission
systems
based
blockchain
techniques
necessary
safeguard
against
cyber-physical
adversaries.
Renewable and Sustainable Energy Reviews,
Год журнала:
2022,
Номер
168, С. 112724 - 112724
Опубликована: Июль 15, 2022
Energy
systems
analyses
are
integrated
elements
in
planning
the
transition
towards
renewable
energy-based
energy
systems.
This
is
due
to
a
growing
complexity
arising
from
wider
exploitation
of
variable
sources
(VRES)
and
an
increasing
reliance
on
sector
integration
as
enabler
temporal
system
integration,
but
it
calls
for
consideration
validity
modelling
tools.
article
synthesises
EnergyPLAN
applications
through
analysis
its
use
both
bibliometric
case-geographical
point
view
review
evolution
issues
addressed
results
obtained
using
EnergyPLAN.
synthesis
provided
with
addressing
contribution
EnergyPLAN-based
research.
As
July
1st,
2022,
has
been
applied
315
peer-reviewed
articles,
we
see
very
high
application
inferred
internal
validation.
In
addition,
shows
how
increased
over
time
early
studies
focusing
role
wind
power
cogeneration
heat
later
contemporarily
novel
like
offered
by
power-to-x
fully
Important
findings
developed
includes
value
district
heating
systems,
VRES
more
generally
importance
resource-efficient
The
wide
across
development
stages
interpreted
validation
distributed
stepwise
replication.
Electronics,
Год журнала:
2023,
Номер
12(1), С. 242 - 242
Опубликована: Янв. 3, 2023
With
the
assistance
of
machine
learning,
difficult
tasks
can
be
completed
entirely
on
their
own.
In
a
smart
grid
(SG),
computers
and
mobile
devices
may
make
it
easier
to
control
interior
temperature,
monitor
security,
perform
routine
maintenance.
The
Internet
Things
(IoT)
is
used
connect
various
components
buildings.
As
IoT
concept
spreads,
SGs
are
being
integrated
into
larger
networks.
an
important
part
because
provides
services
that
improve
everyone’s
lives.
It
has
been
established
current
life
support
systems
safe
effective
at
sustaining
life.
primary
goal
this
research
determine
motivation
for
device
installation
in
buildings
grid.
From
vantage
point,
infrastructure
supports
comprise
them
critical.
remote
configuration
monitoring
security
comfort
building
occupants.
Sensors
required
operate
everything
from
consumer
electronics
SGs.
Network-connected
should
consume
less
energy
remotely
monitorable.
authors’
aid
development
solutions
based
AI,
IoT,
Furthermore,
authors
investigate
networking,
intelligence,
SG.
Finally,
we
examine
SG
IoT.
Several
platform
subject
debate.
first
section
paper
discusses
most
common
learning
methods
forecasting
demand.
then
discuss
how
works,
addition
meters,
which
receiving
real-time
data.
Then,
SG,
ML
integrate
using
simple
architecture
with
layers
organized
entities
communicate
one
another
via
connections.
Protection and Control of Modern Power Systems,
Год журнала:
2023,
Номер
8(1)
Опубликована: Сен. 6, 2023
Abstract
Meteorological
changes
urge
engineering
communities
to
look
for
sustainable
and
clean
energy
technologies
keep
the
environment
safe
by
reducing
CO
2
emissions.
The
structure
of
these
relies
on
deep
integration
advanced
data-driven
techniques
which
can
ensure
efficient
generation,
transmission,
distribution.
After
conducting
thorough
research
more
than
a
decade,
concept
smart
grid
(SG)
has
emerged,
its
practice
around
world
paves
ways
use
reliable
technology.
However,
many
developing
features
evoke
keen
interest
their
improvements
be
regarded
as
next-generation
(NGSG).
Also,
deal
with
non-linearity
uncertainty,
emergence
NGSG
technology
become
great
initiative
reduce
diverse
impact
non-linearity.
This
paper
exhibits
conceptual
framework
enabling
some
intelligent
technical
operation,
including
control,
agent-based
conversion,
edge
computing
management,
internet
things
(IoT)
enabled
inverter,
agent-oriented
demand
side
etc.
study
development
is
discussed
facilitate
emerging
(DDTs)
operation
SG.
prospects
DDTs
in
adaptation
challenges
real-time
are
also
explored
this
from
various
points
view
engineering,
technology,
et
al.
Finally,
trends
towards
securing
evolution
order
studied,
while
major
future
issues
highlighted.
offer
extended
support
engineers
researchers
context
Energy Strategy Reviews,
Год журнала:
2023,
Номер
48, С. 101111 - 101111
Опубликована: Июнь 19, 2023
The
smart
grid
(SG)
research
has
continued
unabated;
however,
some
challenges,
such
as
stability
and
security,
cause
us
to
focus
on
sustainable
SG,
which
benefits
society.
Sustainable
SG
is
complicated
covers
many
topics
that
should
be
summarized
systematically.
This
paper
uses
CiteSpace
analyze
SG's
progress
comprehensively
understand
this
domain's
current
evolvement
in
recent
years;
then
constructs
a
knowledge
framework
provides
future
characteristics.
results
show
hot
topic
with
increasing
publications
frequent
regional
collaboration;
domain
also
integrates
different
disciplines
various
topics.
Furthermore,
integrating
information
technology
social
science
may
an
emerging
trend
the
future.
study
contributes
because
comprehensive
demonstration
of
from
perspectives
dynamic
view,
makes
scholars
easily
grasp
essential
information,
potential
characteristics
provide
more
explicit
technologies
enablers
for
continue
efficiently.
Energies,
Год журнала:
2023,
Номер
16(10), С. 4025 - 4025
Опубликована: Май 11, 2023
The
use
of
machine
learning
and
data-driven
methods
for
predictive
analysis
power
systems
offers
the
potential
to
accurately
predict
manage
behavior
these
by
utilizing
large
volumes
data
generated
from
various
sources.
These
have
gained
significant
attention
in
recent
years
due
their
ability
handle
amounts
make
accurate
predictions.
importance
particular
momentum
with
transformation
that
traditional
system
underwent
as
they
are
morphing
into
smart
grids
future.
transition
towards
embed
high-renewables
electricity
is
challenging,
generation
renewable
sources
intermittent
fluctuates
weather
conditions.
This
facilitated
Internet
Energy
(IoE)
refers
integration
advanced
digital
technologies
such
Things
(IoT),
blockchain,
artificial
intelligence
(AI)
systems.
It
has
been
further
enhanced
digitalization
caused
COVID-19
pandemic
also
affected
energy
sector.
Our
review
paper
explores
prospects
challenges
using
provides
an
overview
ways
which
constructing
can
be
applied
order
them
more
efficient.
begins
description
role
operations.
Next,
discusses
systems,
including
benefits
limitations.
In
addition,
reviews
existing
literature
on
this
topic
highlights
used
Furthermore,
it
identifies
opportunities
associated
methods,
quality
availability,
discussed.
Finally,
concludes
a
discussion
recommendations
research
application
future
grid-driven
powered
IoE.
Sustainable Development,
Год журнала:
2024,
Номер
32(4), С. 3953 - 3978
Опубликована: Янв. 8, 2024
Abstract
This
article
evaluates
the
present
global
condition
of
solar
and
wind
energy
adoption
explores
their
benefits
limitations
in
meeting
needs.
It
examines
historical
evolutionary
growth
energy,
trends
usage
renewable
upcoming
technologies,
including
floating
vertical‐axis
turbines.
The
importance
smart
grid
technology
storage
alternatives
for
enhancing
effectiveness
dependability
is
explored.
In
addition,
role
Electric
Vehicles
(EVs)
a
modern
has
been
assessed.
Furthermore,
economic
benefits,
most
recent
technological
developments
environmental
social
ramifications.
potential
to
meet
increasing
demand
problems
opportunities
facing
industry
have
shown
excellent
promise.
Machine
learning
applications
generation
are
vital
sustainable
production.
can
help
design,
optimization,
cost
reduction,
and,
importantly,
improving
efficacy
advancing
storage.
assessment
crucial
resource
policymakers,
leaders,
researchers
who
aim
make
world
cleaner
more
sustainable.
Ultimately,
this
review
great
demands
goals.
