Do, Linh Phuong Catherine
[VerfasserIn]
;
Lin, Kuan-Heng
[Sonstige Person, Familie und Körperschaft];
Molnár, Peter
[Sonstige Person, Familie und Körperschaft]
Anmerkungen:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 8, 2016 erstellt
Beschreibung:
Recent research has found that electricity consumption is a very useful variable in economics. In many applications it might be desirable to decompose electricity consumption into unpredictable and deterministic (or highly predictable) component. We want to find out whether forecasting works better if we model electricity load independently for each hour or if we model in the first step average daily consumption and in a second step we model for each hour deviation from this average. We therefore compare two simple, yet flexible models for hourly electricity consumption in Germany. Both models use temperature, industrial production, hours of daylight and dummies for days of the week and month of the year as explanatory variables. We find that the first model, despite being simpler, forecasts hourly electricity demand more precisely. This indicates that hourly electricity consumption represent various goods, and should be modelled separately for each hour