Todo DSpace

Listar por tema "Lyapunov methods"

Mostrando ítems 1-3 de 3

    • Application of deep learning and chaos theory for load forecasting in Greece 

      Stergiou K., Karakasidis T.E. (2021)
      In this paper, a novel combination of deep learning recurrent neural network and Lyapunov time is proposed to forecast the consumption of electricity load, in Greece, in normal/abrupt change value areas. Our method verifies ...

    • Emulating a Chaotic Economic Model by Using A Microcontroller 

      Girgolas A., Volos C., Gakoumis A., Stavrinides S., Karakasidis T., Stouboulos I. (2021)
      In this work, for the first time a macroeconomic model has been emulated using a microcontroller-based device, considering as case study the Greek economic crises of period 2010-2019. With the use of well-known tools from ...

    • Sunspot numbers: Data analysis, predictions and economic impacts 

      Gkana, A.; Zachilas, L. (2015)
      We analyze the monthly sunspot number (SSN) data from January 1749 to June 2013. We use the Average Mutual Information and the False Nearest Neighbors methods to estimate the suitable embedding parameters. We calculate the ...