AIMC Topic: Electricity

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An open-source deep learning model for predicting effluent concentration in capacitive deionization.

The Science of the total environment Oct 1, 2022
To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical ion separation technology, it is necessary to accurately estimate the number of ions removed (effluent concentration) according to energy consumption. Herein...
Water Purification Deep Learning Electrodes Ions Electricity
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GADF-VGG16 based fault diagnosis method for HVDC transmission lines.

PloS one Sep 23, 2022
Transmission lines are most prone to faults in the transmission system, so high-precision fault diagnosis is very important for quick troubleshooting. There are some problems in current intelligent fault diagnosis research methods, such as difficulty...
Neural Networks, Computer Algorithms Electricity
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Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM.

Sensors (Basel, Switzerland) Sep 13, 2022
Multistep power consumption forecasting is smart grid electricity management's most decisive problem. Moreover, it is vital to develop operational strategies for electricity management systems in smart cities for commercial and residential users. How...
Humans Neural Networks, Computer Forecasting Disease Progression Electricity
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Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system.

Scientific reports Sep 7, 2022
The development of the advanced metering infrastructure (AMI) and the application of artificial intelligence (AI) enable electrical systems to actively engage in smart grid systems. Smart homes with energy storage systems (ESS) and renewable energy s...
Artificial Intelligence Deep Learning Computer Systems Electricity Electric Power Supplies
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Liquid Metal-Elastomer Composites with Dual-Energy Transmission Mode for Multifunctional Miniature Untethered Magnetic Robots.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 5, 2022
Miniature untethered robots attract growing interest as they have become more functional and applicable to disruptive biomedical applications recently. Particularly, the soft ones among them exhibit unique merits of compliance, versatility, and agili...
Robotics Elastomers Magnetics Locomotion Electricity
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Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis.

Computational intelligence and neuroscience Sep 5, 2022
With the development of science and technology, the rapid development of social economy, the motor as a new type of transmission equipment, in the production and life of people occupies a pivotal position. Under the rapid development of computer and ...
Humans Machine Learning Algorithms Electronics Information Storage and Retrieval Electricity
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Visual Monitoring Technology for Substation Vulnerable High-Voltage Electrical Equipment Based on ISSA-LSTM Deep Learning Model Coupling Video Overlay Algorithm.

Computational intelligence and neuroscience Aug 26, 2022
To enhance the visualization effect of substation high-voltage electrical equipment vulnerability, this study proposes an ISSA-LSTM coupled video overlay algorithm-based substation high-voltage electrical equipment vulnerability visualization and mon...
Algorithms Technology Deep Learning Memory, Short-Term Electricity
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Automated irreversible electroporated region prediction using deep neural network, a preliminary study for treatment planning.

Electromagnetic biology and medicine Aug 22, 2022
The primary purpose of cancer treatment with irreversible electroporation (IRE) is to maximize tumor damage and minimize surrounding healthy tissue damage. Finite element analysis is one of the popular ways to calculate electric field and cell kill p...
Neural Networks, Computer Electricity Finite Element Analysis Electroporation Electric Conductivity
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Intelligent Diagnosis Based on Double-Optimized Artificial Hydrocarbon Networks for Mechanical Faults of In-Wheel Motor.

Sensors (Basel, Switzerland) Aug 22, 2022
To avoid the potential safety hazards of electric vehicles caused by the mechanical fault deterioration of the in-wheel motor (IWM), this paper proposes an intelligent diagnosis based on double-optimized artificial hydrocarbon networks (AHNs) to iden...
Humans Algorithms Support Vector Machine Intelligence Hydrocarbons Electricity
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Neural Network Based on Health Monitoring Electrical Equipment Fault and Biomedical Diagnosis.

Computational intelligence and neuroscience Aug 21, 2022
In order to improve the accuracy of electrical equipment failure diagnosis and keep electrical equipment operating safely and efficiently, this paper proposes to design an electrical equipment failure diagnosis system based on a neural network, analy...
Neural Networks, Computer Algorithms Reproducibility of Results Electricity
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