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The physics of electric power systems [PDF]
EPJ Web of Conferences, 2013 The article describes electric power systems from a physicist’s point of view. In contrast to common introductory textbooks on power systems, the emphasis is on the physical design, that is the material selection and the choice of the geometrical shape ...
Ohler C.
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The physics of power systems operation [PDF]
EPJ Web of Conferences, 2015 The article explains the operation of power systems from the point of view of physics. Physicists imagine things, rather than in terms of impedances and circuits, in terms of fields and energy conversions. The account is concrete and simple.
Ohler C.
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Nature Reviews Physics, 2022 Getting the most from power-law-type data can be challenging. James Sethna points out some of the pitfalls in studying power laws arising from emergent scale invariance, as well as important opportunities.
J. Sethna
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Physics and nuclear power [PDF]
Journal of Physics: Conference Series, 2008 Nuclear power owes its origin to physicists. Fission was demonstrated by physicists and chemists and the first nuclear reactor project was led by physicists. However as nuclear power was harnessed to produce electricity the role of the engineer became stronger.
N. E. Buttery
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On reducing terrorism power: a hint from physics [PDF]
Physica A: Statistical Mechanics and its Applications, 2003 10 pages, 7 ...
Serge Galam, A. Mauger
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Physics of Rock Scour: The Power of the Bubble [PDF]
Scour and Erosion, 2010 Scour of rock downstream of high-head hydraulic structures is governed by multiphase physics of turbulent air-water mixtures impacting and eroding fractured rock. The present paper provides first of all an overview of the main physical processes and focuses on relevant break-up mechanisms of rock.
E. Bollaert
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Physics-Informed Neural Networks for Power Systems [PDF]
IEEE Power & Energy Society General Meeting, 2019 This paper introduces for the first time, to our knowledge, a framework for physics-informed neural networks in power system applications. Exploiting the underlying physical laws governing power systems, and inspired by recent developments in the field ...
George S. Misyris +2 more
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Physics-guided Deep Learning for Power System State Estimation
Journal of Modern Power Systems and Clean Energy, 2020 In the past decade, dramatic progress has been made in the field of machine learning. This paper explores the possibility of applying deep learning in power system state estimation.
Lei Wang, Qun Zhou, Shuangshuang Jin
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ZERO-POWER PHYSICS EXPERIMENTS ON THE MOLTEN-SALT REACTOR EXPERIMENT.
, 1968 B.E. Prince +4 more
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Gradient-Enhanced Physics-Informed Neural Networks for Power Systems Operational Support [PDF]
Electric power systems research, 2022 The application of deep learning methods to speed up the resolution of challenging power flow problems has recently shown very encouraging results. However, power system dynamics are not snap-shot, steady-state operations.
M. Mohammadian +2 more
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