Now showing items 1-4 of 4

    • Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting 

      Arvanitidis A.I., Bargiotas D., Daskalopulu A., Kontogiannis D., Panapakidis I.P., Tsoukalas L.H. (2022)
      The stable and efficient operation of power systems requires them to be optimized, which, given the growing availability of load data, relies on load forecasting methods. Fast and highly accurate Short-Term Load Forecasting ...
    • Forecasting Methods to Support the Decision Framework of Prosumers in Deregulated Markets 

      Panapakidis I.P., Koltsaklis N.E., Christoforidis G.C. (2021)
      In the present paper, a profit maximization problem for a prosumer is formulated and solved. The prosumer selects the electricity procurement approach among the pool market and forward contracts. Instead of treating the ...
    • An Hour-Ahead Photovoltaic Power Forecasting Based on LSTM Model 

      Kothona D., Panapakidis I.P., Christoforidis G.C. (2021)
      The extensive integration of the large-scale Photovoltaic (PV) plants into the power grid requires the development of new forecasting methods, for the prediction of the PV output with high accuracy. Despite the statistical ...
    • Urban water demand forecasting for the Island of skiathos 

      Kofinas, D.; Mellios, N.; Papageorgiou, E.; Laspidou, C. (2014)
      We present an analysis of historical water demand data from the utility of Skiathos, Greece and demonstrate suitable demand forecasting methodologies. We apply linear and nonlinear forecasting methods to a three-year time ...