• 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 ...
    • Short-term Electric Load Forecasting using Engineering and Deep Learning techniques 

      Kouvelas V., Moschakis M. (2022)
      Load forecasting in the energy sector is an integral part of the electrical system as it is a criterion for its smooth and sustainable operation. The liberalization of electricity, the entry of RES into production and the ...
    • What blockchain can do for power grids? 

      Foti M., Vavalis M. (2021)
      The aim of this work is to provide an up-to-date comprehensive review of the peer-reviewed articles, the research projects and the entrepreneurial efforts that consider the utilization of blockchain technology in the energy ...