DocumentCode
3149538
Title
Spikes, antispikes and thresholds in electricity logprices
Author
Lucheroni, Carlo
Author_Institution
Sch. of Sci. & Technol., Univ. of Camerino, Camerino, Italy
fYear
2013
fDate
27-31 May 2013
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
European Energy Market (EEM), 2013 10th International Conference on the
Conference_Location
Stockholm
Type
conf
DOI
10.1109/EEM.2013.6607379
Filename
6607379
Link To Document