Modelling the Load Curve of Aggregate Electricity Consumption Using Principal Components

Arbeitspapier

Since oil is a non-renewable resource with a high environmental impact, and its most common use is to produce combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment of this hydrocarbon fuel. In this paper we apply the Principal Components (PC) method to modelling the load curves of Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC approach are compared with those produced by the Fourier and constrained smoothing spline estimators. The PC method represents a much simpler and attractive alternative to modelling electricity consumption since it is extremely easy to compute, it significantly reduces the number of variables to be considered, and generally increases the accuracy of electricity consumption forecasts. As an additional advantage, the PC method is able to accommodate relevant exogenous variables such as daily temperature and environmental factors, and it is extremely versatile in computing out-of-sample forecasts.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Nota di Lavoro ; No. 95.2003

Classification and Topics

• Classification: Wirtschaft ; Model Construction and Estimation ; Forecasting Models; Simulation Methods ; Nonrenewable Resources and Conservation: General ; Energy: General
• Subject: Electricity ; Load curves ; Principal components ; Fourier estimator ; Constrained smoothing estimator ; Temperature ; Non-renewable resources ; Hydrocarbon fuels ; Environment ; Energiekonsum ; Elektrizität ; Schätzung ; Italien ; Frankreich ; Griechenland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Manera, Matteo ; Marzullo, Angelo
• Event: Veröffentlichung
• (who): Fondazione Eni Enrico Mattei (FEEM)
• (where): Milano
• (when): 2003

Further information

• Handle: http://hdl.handle.net/10419/118111
• Last update: 10.03.2025, 11:42 AM CET