Energy Science & Engineering,
Год журнала:
2023,
Номер
11(7), С. 2444 - 2468
Опубликована: Апрель 16, 2023
Abstract
With
the
development
of
electric
market,
load
forecasting
has
been
increasingly
pursued
by
many
scholars.
Because
is
affected
factors,
it
characterized
volatility
and
uncertainty,
cannot
be
forecasted
accurately
only
a
single
model.
In
research,
short‐term
integrated
model
proposed
to
solve
problem
inaccurate
The
key
point
using
forecast
optimize
decomposed
sequence
improve
accuracy
forecast.
empirical
wavelet
decomposition
(EWT)
used
decompose
into
stationary
sequences
avoid
modal
aliasing;
sparrow
search
algorithm
(SSA)
simulates
anti‐forecasting
behavior
population,
which
very
similar
electricity
consumption
various
industries
good
optimization
effect;
generalized
regression
neural
network
(GRNN)
for
reconstruction;
This
EWT‐SSA‐GRNN
paper
studies
analyzes
power
city
in
southern
Australia.
results
show
that
reduces
through
optimization,
can
accuracy.
Sustainability,
Год журнала:
2023,
Номер
15(4), С. 3618 - 3618
Опубликована: Фев. 16, 2023
Purpose:
To
systematically
present
the
publication
trends
related
to
sustainable
energy,
which
is
an
interdisciplinary
concept.
Design/methodology/approach:
This
study
performed
bibliometric
analysis
investigate
energy
research
between
1980
and
2022
using
a
sample
of
1498
papers
from
Web
Science
(WoS)
databases,
with
only
published
articles
on
energy.
Findings:
A
reveals
in
publications,
showing
as
emerging
topic
sustainability
research.
However,
it
seems
that
still
niche
area
study.
Within
scope
study,
2857
publications
were
included
analysis.
Of
analysis,
are
1089
other
types.
As
result
number
United
Nations’
Sustainable
Development
Goals
Paris
Agreement
has
significantly
increased
since
2015.
In
2022,
highest
was
reached.
It
seen
this
finding
supply
security
reflections
geopolitical
risks
it.
The
keyword
“sustainable
energy”
stands
out
most
frequently
used
keyword.
Research
limitations/implications:
based
data
database
only;
there
will
be
some
shortcomings
findings.
Originality/Value:
contributes
field
by
exploring
current
developments
highlighting
gaps
literature,
recommending
future
field.
fact
keywords
energy”,
“renewable
“sustainability”,
development”
literature
shows
academic
studies
these
fields
great
importance.
