AIMC Topic: 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...
Artificial Intelligence Electricity Deep Learning 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...
China Neural Networks, Computer Seasons Forecasting Electricity
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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...
Artificial Intelligence Gallium Indium Porosity Light Cadmium Compounds Zinc Oxide Transistors, Electronic Sulfides Electricity
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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...
Humans Robotics Muscles Liquid Crystals Elastomers Electricity
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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...
Neural Networks, Computer Forecasting Jordan Electricity Uncertainty
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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...
Algorithms Electricity Neural Networks, Computer
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Marketable value estimation of patents using ensemble learning methodology: Focusing on U.S. patents for the electricity sector.

PloS one Sep 13, 2021
Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. When machine learning is used, a quantitative evaluation based on a large volume of data is po...
Marketing Algorithms Patents as Topic United States Neural Networks, Computer Humans Regression Analysis Electricity Machine Learning Data Mining
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Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks.

Sensors (Basel, Switzerland) Jul 11, 2021
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of IVN devices has still been insecure and vulnerable due to the comple...
Electricity Neural Networks, Computer Machine Learning
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Systematic Review of Electricity Demand Forecast Using ANN-Based Machine Learning Algorithms.

Sensors (Basel, Switzerland) Jul 2, 2021
The forecast of electricity demand has been a recurrent research topic for decades, due to its economical and strategic relevance. Several Machine Learning (ML) techniques have evolved in parallel with the complexity of the electric grid. This paper ...
Electricity Neural Networks, Computer Machine Learning Algorithms
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A Synchronous Prediction Model Based on Multi-Channel CNN with Moving Window for Coal and Electricity Consumption in Cement Calcination Process.

Sensors (Basel, Switzerland) Jun 23, 2021
The precision and reliability of the synchronous prediction of multi energy consumption indicators such as electricity and coal consumption are important for the production optimization of industrial processes (e.g., in the cement industry) due to th...
Electricity Neural Networks, Computer Forecasting Reproducibility of Results Coal
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