AIMC Topic: Electricity

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Prediction of Electric Power Production and Consumption for the CETATEA Building Using Neural Networks.

Sensors (Basel, Switzerland) Aug 20, 2022
Economic and social development is hardly influenced by electric power production and consumption. In this context of the energy supply pressure, energy production and consumption must be monitored and controlled in an intelligent way. Due to the ava...
Neural Networks, Computer Romania Renewable Energy Electricity Algorithms
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A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm.

Computational intelligence and neuroscience Aug 16, 2022
At present, due to the large-scale use of different kinds of power electronic devices in the power system, the problem of harmonic pollution in the power grid is becoming more and more serious, which will lead to a serious decline in the production, ...
Electricity Algorithms Electronics Neural Networks, Computer
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Leakage Current Sensor and Neural Network for  MOA Monitoring.

Computational intelligence and neuroscience Jun 17, 2022
Metal-oxide arrester (MOA) has been widely used in electric power systems. The leakage current monitoring of MOA can not only detect the MOA's running state continuously and intelligently but also reduce the unexpected outage of the equipment, which ...
Computer Simulation Electricity Oxides Neural Networks, Computer
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An Open-Environment Tactile Sensing System: Toward Simple and Efficient Material Identification.

Advanced materials (Deerfield Beach, Fla.) Jun 8, 2022
Robotic perception can have simple and effective sensing functions that are unreachable for humans using only the isolated tactile perception method, with the assistance of a triboelectric nanogenerator (TENG). However, the reliability of triboelectr...
Touch Perception Touch Electricity Neural Networks, Computer Robotics Reproducibility of Results
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Self-Healable, Self-Repairable, and Recyclable Electrically Responsive Artificial Muscles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 3, 2022
Elastomers with high dielectric permittivity that self-heal after electric breakdown and mechanical damage are important in the emerging field of artificial muscles. Here, a one-step process toward self-healable, silicone-based elastomers with large ...
Elastomers Electricity Robotics Silicone Elastomers Muscles
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Health Index Estimation of Wind Power Plant Using Neurofuzzy Modeling.

Computational and mathematical methods in medicine May 29, 2022
According to the Tamil Nadu Energy Development Agency (TEDA) in the 2019-20 academic year, the wind power plant produces 23% of the biomass power supply in the Indian electrical commodities. To maintain the power withstanding capability needed for fu...
Humans India Electricity Neural Networks, Computer Power Plants
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Self-Powered Tactile Sensor for Gesture Recognition Using Deep Learning Algorithms.

ACS applied materials & interfaces May 25, 2022
A multifunctional wearable tactile sensor assisted by deep learning algorithms is developed, which can realize the functions of gesture recognition and interaction. This tactile sensor is the fusion of a triboelectric nanogenerator and piezoelectric ...
Electric Power Supplies Gestures Electricity Deep Learning Artificial Intelligence Humans
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Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm.

Sensors (Basel, Switzerland) May 23, 2022
Distributed Energy Resources (DERs) are growing in importance Power Systems. Battery Electrical Storage Systems (BESS) represent fundamental tools in order to balance the unpredictable power production of some Renewable Energy Sources (RES). Neverthe...
Electric Power Supplies Algorithms Neural Networks, Computer Support Vector Machine Electricity
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Modeling and Fault Detection of Brushless Direct Current Motor by Deep Learning Sensor Data Fusion.

Sensors (Basel, Switzerland) May 5, 2022
Only with new sensor concepts in a network, which go far beyond what the current state-of-the-art can offer, can current and future requirements for flexibility, safety, and security be met. The combination of data from many sensors allows a richer r...
Deep Learning Electricity Algorithms Artificial Intelligence Neural Networks, Computer
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Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

Computational intelligence and neuroscience Apr 30, 2022
With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricit...
Wind Electricity Forecasting Support Vector Machine Research Design
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