Problem $1\mathrm{.}5($Forecasting methods$)$: Suppose that we are currently at time t$=365$ and want to

forecast the daily demands for electricity for the next $10$ days. $($If necessary, use the seasonality

s$=7$ to consider daily patterns within a week in the time series data.$)(8$ points$)$

$($a$)$ If we use the $$mean$$ forecasting method, what is the $10-$day$-$ahead forecast for the electricity

demand y$375?$

$($b$)$ Use the $$na$$ve$$ method and find the $10-$day$-$ahead forecast for the electricity demand y$375.$

$($c$)$ If we use the $$seasonal na$$ve$$ method, what is the $10-$day$-$ahead forecast for the electricity

demand y$375?$

$($d$)$ If we use the $$drift$$ forecasting method, what is the $10-$day$-$ahead forecast for the electricity

demand y$375?$Problem $1\mathrm{.}5($Forecasting methods$)$: Suppose that we are currently at time $t=365$ and want to

forecast the daily demands for electricity for the next $10$ days. $($If necessary, use the seasonality

$s=7$ to consider daily patterns within a week in the time series data.$)(8$ points$)$

$($a$)$ If we use the "mean" forecasting method, what is the $10-$day$-$ahead forecast for the electricity

demand $y_{375}?$

$($b$)$ Use the "naive" method and find the $10-$day$-$ahead forecast for the electricity demand $y_{375}.$

$($c$)$ If we use the "seasonal naive" method, what is the $10-$day$-$ahead forecast for the electricity

demand $y_{375}?$

$($d$)$ If we use the "drift" forecasting method, what is the $10-$day$-$ahead forecast for the electricity

demand $y_{375}?$