• A Comparison of Feature Selection Techniques for Neural Network Based Load Forecasting 

      Panapakidis I.P., Bouhouras A.S., Christoforidis G.C. (2019)
      The performance of neural networks in load forecasting tasks is highly influenced by the selection of the inputs. This selection is either problem specific or is relied on the literature. The scope of the present study is ...
    • Day-ahead natural gas demand forecasting in hourly resolution 

      Panapakidis I.P., Polychronidis V., Bargiotas D. (2021)
      Natural Gas (NG) demand forecasting is a research topic that starts to gather the attention of scholars, research institutions, utilities, retailers and other interested parties. Accurate predictions of future needs for ...
    • Error Compensation Enhanced Day-Ahead Electricity Price Forecasting 

      Kontogiannis D., Bargiotas D., Daskalopulu A., Arvanitidis A.I., Tsoukalas L.H. (2022)
      The evolution of electricity markets has led to increasingly complex energy trading dynamics and the integration of renewable energy sources as well as the influence of several external market factors contributed towards ...