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Paweł Pełka received the M.Sc. degree in informatics from the Częstochowa University of Technology, Częstochowa, Poland, in 2016. He is currently pursuing the Ph.D. degree with the Faculty of Mechanical Engineering and Computer Science, with a focus on pattern-based midterm load forecasting issues.
He is currently an Assistant Professor with the Faculty of Electrical Engineering, Częstochowa University of Technology. He is an author of several scientific articles. His research interests include data analysis, machine learning, pattern recognition, artificial intelligence, and their usage in time series forecasting problems.
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论文共 24 篇作者统计合作学者相似作者
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NEURAL NETWORKS (2024): 660-672
Energiesno. 2 (2023): 827-827
Computational Science – ICCS 2023pp.450-464, (2023)
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