Forecasting price spikes in European day-ahead electricity markets using decision trees

Although the techniques for normal price prediction are well advanced, price spike prediction remains a challenge. The aim of this paper is to present a method to predict both normal day-ahead electricity prices as well as day-ahead price spikes using classification and regression trees. The models are build using historical data of European electricity market and transmission system variables. The proposed method is tested on several bidding zones of Europe. © 2015 IEEE.


Published in:
2015 12th International Conference on the European Energy Market (EEM), 1-5
Presented at:
2015 12th International Conference on the European Energy Market (EEM), Lisbon, Portugal, 19-22 May 2015
Year:
2015
Publisher:
IEEE
Laboratories:




 Record created 2016-02-16, last modified 2018-01-28


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