Accurate short-term load forecasting is important for running power systems efficiently and managing smart grids. In this study, we present an improved Temporal Convolutional Network (TCN) model and compare eight optimization algorithms: Adam, AdaBelief, RAdam, Ranger, AdamP, NovoGrad, Adan, and SAM. We used hourly ele...
Hmeda Musbah, Abdussalam Mohamed, Hamed H. Aly· 2026 IEEE Canadian Atlantic...· 0 citations
A novel operational condition monitor that has a data-driven predictive mechanism for determining the instant states of each tidal stream turbine is proposed, reducing in uncertainty and the association with real-time operating conditions, which enable optimal scheduling decisions.
Ali Fituri, Abdelouahed Gherbi, Hmeda Musbah· Journal of Marine Science an...· 0 citations
This paper proposes an electromagnetic (EM) environment classification framework that enables unmanned aerial vehicles (UAVs) and robotic platforms to perceive EM conditions as structured environmental states rather than unmodeled noise or isolated sensor faults. A physics-inspired, imbalanced multi-class dataset with...
Abdussalam Mohamed, Hmeda Musbah, Hamed H. Aly· 2026 IEEE Canadian Atlantic...· 0 citations
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