AIMC Topic: Electricity

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A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines.

PloS one Jan 26, 2022
The reformations of the electrical power sector have resulted in very dynamic and competitive market that has changed many elements of the power industry. Excessive demand of energy, depleting the fossil fuel reserves of planet and releasing the toxi...
Electricity Neural Networks, Computer Models, Economic Computer Simulation
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Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review.

Sensors (Basel, Switzerland) Jan 8, 2022
This paper aims to provide a review of the electrically assisted bicycles (also known as e-bikes) used for recovery of the rider's physical and physiological information, monitoring of their health state, and adjusting the "medical" assistance accord...
Humans Bicycling Artificial Intelligence Transportation Electricity Accidents, Traffic
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Evaluation of Machine Learning Methods for Monitoring the Health of Guyed Towers.

Sensors (Basel, Switzerland) Dec 29, 2021
This paper presents the development of a methodology to detect and evaluate faults in cable-stayed towers, which are part of the infrastructure of Brazil's interconnected electrical system. The proposed method increases system reliability and minimiz...
Neural Networks, Computer Artificial Intelligence Electricity Reproducibility of Results Machine Learning
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A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data.

Sensors (Basel, Switzerland) Dec 17, 2021
This study presents a novel feature-engineered-natural gradient descent ensemble-boosting (NGBoost) machine-learning framework for detecting fraud in power consumption data. The proposed framework was sequentially executed in three stages: data pre-p...
Machine Learning Time Factors Fraud Algorithms Electricity
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Electric Shovel Teeth Missing Detection Method Based on Deep Learning.

Computational intelligence and neuroscience Nov 22, 2021
Electric shovels are widely used in the mining industry to dig ore, and the teeth in shovels' bucket can be lost due to the tremendous pressure exerted by ore materials during operation. When the teeth fall off and enter the crusher with other ore ma...
Deep Learning Artificial Intelligence Electricity Image Processing, Computer-Assisted Algorithms Humans
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The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China.

Computational intelligence and neuroscience Oct 26, 2021
Accurate electricity load forecasting is an important prerequisite for stable electricity system operation. In this paper, it is found that daily and weekly variations are prominent by the power spectrum analysis of the historical loads collected hou...
Forecasting China Neural Networks, Computer Electricity Seasons
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Large-Area Pixelized Optoelectronic Neuromorphic Devices with Multispectral Light-Modulated Bidirectional Synaptic Circuits.

Advanced materials (Deerfield Beach, Fla.) Sep 22, 2021
The complete hardware implementation of an optoelectronic neuromorphic computing system is considered as one of the most promising solutions to realize energy-efficient artificial intelligence. Here, a fully light-driven and scalable optoelectronic n...
Indium Gallium Artificial Intelligence Sulfides Porosity Light Electricity Transistors, Electronic Zinc Oxide Cadmium Compounds
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Ultrafast, High-Contractile Electrothermal-Driven Liquid Crystal Elastomer Fibers towards Artificial Muscles.

Small (Weinheim an der Bergstrasse, Germany) Sep 21, 2021
Liquid crystal elastomer (LCE) fibers are capable of large and reversible deformations, making them an ideal artificial muscle. However, limited to stimulating source and structural design, current LCE fibers have not yet achieved both large contract...
Liquid Crystals Elastomers Robotics Muscles Electricity Humans
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A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network.

Sensors (Basel, Switzerland) Sep 17, 2021
Power system planning and expansion start with forecasting the anticipated future load requirement. Load forecasting is essential for the engineering perspective and a financial perspective. It effectively plays a vital role in the conventional monop...
Uncertainty Electricity Jordan Neural Networks, Computer Forecasting
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Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine.

Computational intelligence and neuroscience Sep 17, 2021
Gas turbine is widely used because of its advantages of fast start and stop, no pollution, and high thermal efficiency. However, the working environment of high temperature, high pressure, and high speed makes the gas turbine prone to failure. The tr...
Electricity Neural Networks, Computer Algorithms
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