
IEEE Access, Год журнала: 2024, Номер 12, С. 167778 - 167793
Опубликована: Янв. 1, 2024
Язык: Английский
IEEE Access, Год журнала: 2024, Номер 12, С. 167778 - 167793
Опубликована: Янв. 1, 2024
Язык: Английский
Frontiers in Energy Research, Год журнала: 2025, Номер 13
Опубликована: Март 28, 2025
Day-ahead
electricity
prices
in
today’s
competitive
electric
power
markets
have
complex
features
such
as
high
frequency,
volatility,
non-linearity,
non-stationarity,
mean
reversion,
multiple
periodicities,
and
calendar
effects.
These
complicated
make
price
forecasting
difficult.
To
address
this,
this
research
examines
the
application
of
functional
data
analysis
to
day-ahead
prices.
Compared
classical
time
series
approaches,
is
more
appealing
since
it
anticipates
daily
profile,
allowing
for
short-term
projections.
This
technique
uses
a
autoregressive
(
Язык: Английский
Процитировано
Energy and AI,
Год журнала:
2024,
Номер
18, С. 100435 - 100435
Опубликована: Окт. 29, 2024
Язык: Английский
Процитировано
IEEE Access,
Год журнала:
2024,
Номер
12, С. 167778 - 167793
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
A Two-layer Low-carbon Economic Planning Method for Park-level Integrated Energy Systems with Carbon-Energy Synergistic Hub
Optimal Integrated Energy Scheduling for Industrial Customers Based on a Bi-level Programming