Closed camroach87 closed 3 years ago
pv.data %>% mutate(date = date(datetime), period = hour(datetime)*2 + minute(datetime)/30 + 1) %>% ggplot(aes(x = period, y = pv_power_mw, group = date)) + geom_line()
I really should filter out those two demand outliers. Doesn't make any sense that including them would improve model.
Closed by 02503170469f3a65725b2f7efffb5e0e3ec5b707
Just do another quick check to see if there are any obvious outliers. E.g. zero demand all day.