Blar i NTNU Open på forfatter "Arghandeh, Reza"

Viser treff 1-4 av 4

    • Automated Power Lines Vegetation Monitoring using High-Resolution Satellite Imagery 

      Gazzea, Michele; Pacevicius, Michael Felix; Dammann, Dyre Oliver; Sapronova, Alla; Lunde, Torleif Markussen; Arghandeh, Reza (Peer reviewed; Journal article, 2021)
      Vegetation Management is a significant preventive maintenance expense in many power transmission and distribution companies. Traditional Vegetation Management operational practices have proven ineffective and are rapidly ...

    • Day-ahead inflow forecasting using causal empirical decomposition 

      Yousefi, Mojtaba; Cheng, Xiaomei; Gazzea, Michele; Wierling, August Hubert; Rajasekharan, Jayaprakash; Helseth, Arild; Farahmand, Hossein; Arghandeh, Reza (Peer reviewed; Journal article, 2022)
      It is essential to have accurate and reliable daily-inflow forecasting to improve short-term hydropower scheduling. This paper proposes a Causal multivariate Empirical mode Decomposition (CED) framework as a complementary ...

    • Exploring the application of machine-learning techniques in the next generation of long-term hydropower-thermal scheduling 

      Wang, Jinghao; Yousefi, Mojtaba; Rajasekharan, Jayaprakash; Arghandeh, Reza; Farahmand, Hossein (Journal article; Peer reviewed, 2024)
      This paper introduces a shape-based inflow scenarios reduction framework applied in long-term hydro-thermal scheduling. This scheduling problem involves strategically managing the limited stored hydro energy in coordination ...

    • Short-term inflow forecasting in a dam-regulated river in Southwest Norway using causal variational mode decomposition 

      Yousefi, Mojtaba; Wang, Jinghao; Høivik, Øivind Fandrem; Rajasekharan, Jayaprakash; Wierling, August Hubert; Farahmand, Hossein; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
      Climate change affects patterns and uncertainties associated with river water regimes, which significantly impact hydropower generation and reservoir storage operation. Hence, reliable and accurate short-term inflow ...