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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting.
Sci Rep
January 2025
Department of Industrial Engineering/Graduate School of Data Science/Research Center for Electrical and Information Science, Seoul National University of Science and Technology, Seoul, South Korea.
Electric load forecasting is crucial in the planning and operating electric power companies. It has evolved from statistical methods to artificial intelligence-based techniques that use machine learning models. In this study, we investigate short-term load forecasting (STLF) for large-scale electricity usage datasets.
View Article and Find Full Text PDFPrimordial black holes and their gravitational-wave signatures.
Living Rev Relativ
January 2025
Institute of Cosmology and Gravitation, University of Portsmouth, Dennis Sciama Building, Burnaby Road, Portsmouth, PO1 3FX UK.
In the recent years, primordial black holes (PBHs) have emerged as one of the most interesting and hotly debated topics in cosmology. Among other possibilities, PBHs could explain both some of the signals from binary black hole mergers observed in gravitational-wave detectors and an important component of the dark matter in the Universe. Significant progress has been achieved both on the theory side and from the point of view of observations, including new models and more accurate calculations of PBH formation, evolution, clustering, merger rates, as well as new astrophysical and cosmological probes.
View Article and Find Full Text PDFWe introduce a computational topology-based approach with unsupervised machine-learning algorithms to estimate the database size and content of RNA-like graph topologies. Specifically, we apply graph theory enumeration to generate all 110,667 possible 2D dual graphs for vertex numbers ranging from 2 to 9. Among them, only 0.
View Article and Find Full Text PDFThe James Webb Space Telescope has discovered a surprising population of bright galaxies in the very early Universe (≲500 Myr after the Big Bang) that is hard to explain with conventional galaxy-formation models and whose physical properties are not fully understood. Insight into their internal physics is best captured through nebular lines, but at these early epochs, the brightest of these spectral features are redshifted into the mid-infrared and remain elusive. Using the mid-infrared instrument onboard the James Webb Space Telescope, here we present a detection of Hα and doubly ionized oxygen ([O iii] 4959,5007 Å) from the bright, ultra-high-redshift galaxy candidate GHZ2/GLASS-z12.
View Article and Find Full Text PDFSingle Rare-Earth Ion Doped Tin-Oxo Nanocluster Photoresists for High-Resolution Extreme Ultraviolet Lithography.
Nano Lett
January 2025
Institute of Modern Optics, College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, China.
Rare-earth (RE) metals are known as industrial vitamins and show significant regulatory effects in many fields. In this work, we first demonstrated that the vitamin effect of RE metals can also be applied to extreme ultraviolet (EUV) lithography. Using a SnRE oxo cluster as the universal platform, different individual RE metal ions were successfully doped to obtain a series of isomorphic heterometallic clusters (RE = Y, Sm, Eu, Ho, Er).
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