Abstract: Accurate electricity consumption forecasting is essential for effective power management, especially in the presence of unpredictable events that disrupt typical consumption patterns. Using ...
Quasi-periodic oscillations (QPOs) are a rare phenomenon in active galactic nuclei. They have been observed to occur at ...
Abstract: Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem. To tackle it, this paper proposes a Wavelet ...
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The forecast of wind speed and the power produced from wind farms has been a challenge for a long time and continues to be so. This work introduces a method that we label as Wavelet ...
Department of Physics, National Dong Hwa University, Shoufeng, Hualien 97401, Taiwan Department of Nuclear Physics, University of Science, Vietnam National University − Ho Chi Minh City, Ho Chi Minh ...
ABSTRACT: The use of solar energy is today widely recognized for the green transition but also for addressing societal challenges associated with the rise in global surface temperature. The design of ...
Large Language Models (LLMs) have revolutionized artificial intelligence, impacting various scientific and engineering disciplines. The Transformer architecture, initially designed for machine ...
1 Department of Physics and Astronomy, Queen Mary University of London, London, United Kingdom 2 Department of Physics, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh ...
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