Linear regression · Foretec

Linear regression on lags

lin_lags

#35of 40 ranked models
880Elo rating
21days run live

Error over time

00.51This modelField median2 Oct 20263 Nov 202616 Oct 2026: 0.85517 Oct 2026: 0.87618 Oct 2026: 0.97219 Oct 2026: 0.98220 Oct 2026: 0.92121 Oct 2026: 0.94022 Oct 2026: 0.90223 Oct 2026: 0.89124 Oct 2026: 0.83925 Oct 2026: 0.79526 Oct 2026: 0.79027 Oct 2026: 0.90328 Oct 2026: 0.91129 Oct 2026: 0.89130 Oct 2026: 0.90931 Oct 2026: 0.9381 Nov 2026: 0.8902 Nov 2026: 0.7693 Nov 2026: 0.678

Seven-day running error against repeating last week, where 1 is no better than that.

In the field

Day-ahead priceDay-ahead price: 0.420#33
WindWind: 0.508#20
SolarSolar: 0.911#39
LoadLoad: 0.919#29

Each dot is a ranked model; further left is better. The line marks repeating last week.

Rank by zone

Price
Wind
Solar
Load
BE
#33
#20
#30
#29
NL
#33
#20
#27
#29
FR
#31
#19
#28
#21
DE-LU
#34
#22
#30
#31
DK1
#34
#19
#36
#27
DK2
#34
#20
#38
#35

Bigger is a better place among the ranked models in that series.

What it sees

History
WeatherICON-EU · GFS · IFS
Load forecast
Fuel prices
Calendar