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