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Sumeyra Demir is a Ph.D. candidate at the Eindhoven University of Technology and her research is funded by Scholt Energy Control. She previously worked on sentiment analysis to evaluate the credit risks of publicly listed companies in collaboration with the University of St Andrews and Moody’s Analytics. Her current research focuses on forecasting electricity prices and developing algorithmic trading strategies using machine learning and reinforcement learning.
Sumeyra Demir holds a B.Sc. degree in mathematics education, an M.A. degree in philosophy from Istanbul University, and an M.Sc. degree in applied statistics and data mining from the University of St Andrews.
Introducing technical indicators to electricity price forecasting: a feature engineering study for linear, ensemble, and deep machine learning modelsDemir, S., Mincev, K., Kok, J. K. K. & Paterakis, N. G., 1 jan 2020, In : Applied Sciences. 10, 1, 18 blz., 255.
Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review