Browsing NTNU Open by Author "Yousefi, Mojtaba"
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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 ...