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