Time series modelling and prediction

The techniques developed within the scope of my PhD thesis are also applicable to the time series prediction, e.g. algorithms TASVR and FTSR.

References (please also see references here)

​Journal papers

  1. ​​V. Ceperic, G. Gielen, and A. Baric. “Recurrent sparse support vector regression machines trained by active learning in the time-domain”. In: Expert Systems with Applications 39.12 (2012), pp. 10933—10942. Corresponding author.  
  2. ​E. Ceperic, V. Ceperic, and A. Baric. “A strategy for short-term load forecasting by support vector regression machines”. In: IEEE Transactions on Power Systems (2013). Accepted for publication. Corresponding author.  

Patent applications

  1. V. Ceperic and A. Baric. “System, Method and Computer Program Product for Modelling Electronic Circuits”. Patent application 13,353,701 (US). Jan. 2012.