Results 11 to 20 of about 9,389,610 (402)
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, of the fundamental components as it follows from the function and serves the main purpose.
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. The use of alternating current entails the issue of reactive power.
Ohler C.
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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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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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On reducing terrorism power: a hint from physics [PDF]
Physica A: Statistical Mechanics and its Applications, 2003 10 pages, 7 ...
Serge Galam, Alain Mauger
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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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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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Parameter Estimation of Power Electronic Converters With Physics-Informed Machine Learning
IEEE transactions on power electronics, 2022 Physics-informed machine learning (PIML) has been emerging as a promising tool for applications with domain knowledge and physical models. To uncover its potentials in power electronics, this article proposes a PIML-based parameter estimation method ...
Shuai Zhao +3 more
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Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow [PDF]
IEEE International Conference on Smart Grid Communications, 2021 Physics-informed neural networks exploit the existing models of the underlying physical systems to generate higher accuracy results with fewer data.
Rahul Nellikkath +1 more
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