Dr. Sibel Çevik Bektaş is an academic and researcher in electrical and electronics engineering with expertise in energy systems, renewable energy integration, and intelligent forecasting methods. Her research centers on data-driven and artificial intelligence–based approaches for short-term load forecasting, solar irradiance prediction, and optimal energy management in grid-connected distribution networks with storage and renewables. She has authored peer-reviewed journal articles and conference papers on multi-objective optimization, neural networks, deep learning, and decision-support tools for power systems. Her professional experience includes teaching, research activities, project supervision, and funded research participation. Her scholarly output includes 5 indexed documents, receiving 13 citations, with an h-index of 2, reflecting emerging research impact.

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