Title :
Spikes, antispikes and thresholds in electricity logprices
Author :
Lucheroni, Carlo
Author_Institution :
Sch. of Sci. & Technol., Univ. of Camerino, Camerino, Italy
Abstract :
An interesting feature of some electricity logprice series is that they display daytime upward spikes and nighttime downward spikes. This paper will show that this phenomenology implies that the underlying data generating mechanism involves an implicit threshold behavior, and consequently that threshold stochastic dynamic models can be well suited to study this kind of series. As a worked out example, a specific four-threshold TARX model will be applied to AESO power market data.
Keywords :
power markets; stochastic processes; AESO power market data; TARX model; data generating mechanism; daytime upward spike; electricity logprice series; electricity market economics; nighttime downward spike; phenomenology; threshold stochastic dynamic model; Biological system modeling; Calibration; Correlation; Data models; Electricity; Mathematical model; Predictive models; Stochastic processes; electricity market economics; nonlinear time series analysis;
Conference_Titel :
European Energy Market (EEM), 2013 10th International Conference on the
Conference_Location :
Stockholm
DOI :
10.1109/EEM.2013.6607379