Pages that link to "Item:Q5128897"
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The following pages link to Functional time series approach for forecasting very short-term electricity demand (Q5128897):
Displaying 11 items.
- On projection methods for functional time series forecasting (Q2078562) (← links)
- Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density (Q2259756) (← links)
- Bootstrap in semi-functional partial linear regression under dependence (Q2414880) (← links)
- Sequential GMDH approach to short term load forecasting (Q3656106) (← links)
- Space‐Time Model versus VAR Model: Forecasting Electricity demand in Japan (Q4687310) (← links)
- Seasonal functional autoregressive models (Q5063322) (← links)
- Forecasting functional time series using weighted likelihood methodology (Q5107506) (← links)
- (Q5262073) (← links)
- (Q5262145) (← links)
- Dynamic structural models with covariates for short-term forecasting of time series with complex seasonal patterns (Q5861566) (← links)
- Functional data analysis of the relationship between electricity consumption and climate change drivers (Q6164674) (← links)