Predicting downstream river stages during extreme reservoir operations remains challenging due to complex interactions between dam operation and river response. Although machine learning has shown potential for hydrological applications, there remains a gap in the comparative evaluation of Transformer-based and convent...
Duban A. Paternina-Verona, Ó. Coronado-Hernández, M. Pérez-Sánchez et al.· Electronics· 0 citations
This study presents a computationally inexpensive preliminary sizing and parametric-design procedure for a centrifugal-pump impeller intended for exploratory operation in pump and turbine modes. A hydraulic loss model was coupled with a real-valued genetic algorithm to screen a restricted design space without embedding...
Sebastian Atarihuana, M. Pérez-Sánchez, Helena M. Ramos et al.· Applied Sciences· 0 citations
Hybrid renewable energy systems (HRESs) represent a promising strategy for reducing carbon emissions across multiple sectors by integrating complementary resources such as solar, wind, hydropower, and energy storage technologies. Identifying the most suitable location for a pilot installation requires a comprehensive e...
Helena M. Ramos, Chetanya Rishi, Ó. Coronado-Hernández et al.· Clean Technology· 0 citations
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