AIMC Topic: Electricity

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A new method for identifying a fault in T-connected lines based on multiscale S-transform energy entropy and an extreme learning machine.

PloS one Aug 15, 2019
Due to the characteristics of T-connection transmission lines, a new method for T-connection transmission lines fault identification based on current reverse travelling wave multi-scale S-transformation energy entropy and limit learning machine is pr...
Algorithms Computer Simulation Entropy Electricity Machine Learning
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Use of Machine Learning in the Analysis of Indoor ELF MF Exposure in Children.

International journal of environmental research and public health Apr 6, 2019
Characterization of children exposure to extremely low frequency (ELF) magnetic fields is an important issue because of the possible correlation of leukemia onset with ELF exposure. Cluster analysis-a Machine Learning approach-was applied on personal...
Child Cluster Analysis Environmental Exposure Adolescent Child, Preschool Humans Infant, Newborn Schools Infant France Machine Learning Electricity Magnetic Fields Housing
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Inertia location and slow network modes determine disturbance propagation in large-scale power grids.

PloS one Mar 21, 2019
Conventional generators in power grids are steadily substituted with new renewable sources of electric power. The latter are connected to the grid via inverters and as such have little, if any rotational inertia. The resulting reduction of total iner...
Europe Electricity Computer Simulation Models, Theoretical Electric Power Supplies Neural Networks, Computer
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Realizing the potential of dielectric elastomer artificial muscles.

Proceedings of the National Academy of Sciences of the United States of America Jan 24, 2019
Soft robotics represents a new set of technologies aimed at operating in natural environments and near the human body. To interact with their environment, soft robots require artificial muscles to actuate movement. These artificial muscles need to be...
Robotics Electrodes Nanotubes, Carbon Humans Muscles Muscle Contraction Artificial Organs Electricity Elastomers
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Light-Driven Micro/Nanomotor for Promising Biomedical Tools: Principle, Challenge, and Prospect.

Accounts of chemical research Sep 4, 2018
A micro/nanomotor (MNM), as miniaturized machinery, can potentially bridge the application gap between the traditional macroscale motor and the molecular motor to manipulate materials at the cellular scale. The fascinating biomedical potential applic...
Micro-Electrical-Mechanical Systems Microtechnology Electricity Equipment Design Light Robotics Nanostructures Catalysis Nanotechnology Oxidation-Reduction Motion
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Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid.

PloS one Feb 27, 2018
Advanced Metering Infrastructure (AMI) realizes a two-way communication of electricity data through by interconnecting with a computer network as the core component of the smart grid. Meanwhile, it brings many new security threats and the traditional...
Algorithms Models, Theoretical Machine Learning Electricity
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Prediction of thermal conductivity of polyvinylpyrrolidone (PVP) electrospun nanocomposite fibers using artificial neural network and prey-predator algorithm.

PloS one Sep 21, 2017
In this study, multilayer perception neural network (MLPNN) was employed to predict thermal conductivity of PVP electrospun nanocomposite fibers with multiwalled carbon nanotubes (MWCNTs) and Nickel Zinc ferrites [(Ni0.6Zn0.4) Fe2O4]. This is the sec...
Thermal Conductivity Nanocomposites Nanotechnology Nanotubes, Carbon Electricity Neural Networks, Computer Nickel Ferric Compounds Zinc Povidone
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Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems.

Computational intelligence and neuroscience Jul 11, 2017
Fast and accurate fault classification is essential to power system operations. In this paper, in order to classify electrical faults in radial distribution systems, a particle swarm optimization (PSO) based support vector machine (SVM) classifier ha...
Electricity Electric Power Supplies Support Vector Machine
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Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

PloS one Jul 3, 2017
To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving...
Motor Vehicles Vehicle Emissions Electricity Models, Theoretical Probability Conservation of Energy Resources Machine Learning Algorithms
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Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid.

Neural networks : the official journal of the International Neural Network Society May 15, 2017
The economic emission dispatch (EED) problem aims to control generation cost and reduce the impact of waste gas on the environment. It has multiple constraints and nonconvex objectives. To solve it, the collective neurodynamic optimization (CNO) meth...
Electricity Power Plants Neural Networks, Computer
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