SCAR: MATLAB function to compute day-ahead predictions of the electricity spot price using the Seasonal Component AutoRegressive (SCAR) model

Jakub Nowotarski and Rafał Weron

HSC Software from Hugo Steinhaus Center, Wroclaw University of Science and Technology

Abstract: SCAR computes day-ahead predictions of the electricity spot price given historical prices and forecasted loads using the Seasonal Component AutoRegressive (SCAR) model introduced in J. Nowotarski, R. Weron (2016) "On the importance of the long-term seasonal component in day-ahead electricity price forecasting", Energy Economics 57, 228-235 (http://dx.doi.org/10.1016/j.eneco.2016.05.009), as well as the classical AR model.

Language: MATLAB
Requires: MATLAB (tested on MATLAB ver. R2016a).
Keywords: Electricity spot price; Forecasting; Seasonality; Autoregression; Seasonal Component AutoRegressive (SCAR) model. (search for similar items in EconPapers)
Date: 2016-07-23
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