DocumentCode :
3774908
Title :
Modelling and forecasting electricity load using lasso methods
Author :
Florian Ziel
Author_Institution :
Europa-Universitat Viadrina, Frankfurt (Oder) Germany
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
We present a multivariate time series model to hourly German electricity load. We incorporate the influence of neighbouring countries, temperature, public holidays and the clock change in our non-linear conditionally heteroscedastic model. The considered model can be regarded as a time-varying threshold ARMA-GARCH process. A fast iterative lasso based algorithm is used for the parameter estimation.
Keywords :
"Load modeling","Time series analysis","Indexes","Computational modeling","Estimation","Clocks","Data models"
Publisher :
ieee
Conference_Titel :
Modern Electric Power Systems (MEPS), 2015
Type :
conf
DOI :
10.1109/MEPS.2015.7477217
Filename :
7477217
Link To Document :
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