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Listar por tema "Short term load forecasting"

Mostrando ítems 1-3 de 3

    • 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 ...

    • Enhanced short-term load forecasting using artificial neural networks 

      Arvanitidis A.I., Bargiotas D., Daskalopulu A., Laitsos V.M., Tsoukalas L.H. (2021)
      The modernization and optimization of current power systems are the objectives of research and development in the energy sector, which is motivated by the ever-increasing electricity demands. The goal of such research and ...

    • Use of Artificial Neural Networks for Short Term Load Forecasting 

      Arvanitidis A.I., Bargiotas D. (2021)
      In order to schedule an effective service and economical capital extension of an electric power distribution system, the system administrator must be able to predict the need for power delivery. Short Term Load Forecasting ...