AIMC Topic: Electricity

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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 Humans Algorithms Patents as Topic United States Regression Analysis Data Mining Electricity Machine Learning Neural Networks, Computer
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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...
Machine Learning Electricity Neural Networks, Computer
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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 ...
Algorithms Machine Learning Electricity Neural Networks, Computer
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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 Coal Forecasting Reproducibility of Results Neural Networks, Computer
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Distributed optimal power flow.

PloS one Jun 18, 2021
OBJECTIVE: The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found,...
Electricity Humans Models, Theoretical Electric Power Supplies Algorithms Computer Simulation Neural Networks, Computer
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Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method.

Sensors (Basel, Switzerland) Jun 17, 2021
Fault detection and classification are two of the challenging tasks in Modular Multilevel Converters in High Voltage Direct Current (MMC-HVDC) systems. To directly classify the raw sensor data without certain feature extraction and classifier design,...
Neural Networks, Computer Electricity
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Data-Driven Fault Diagnosis for Electric Drives: A Review.

Sensors (Basel, Switzerland) Jun 10, 2021
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has shifted to massively acquire o...
Electricity Machine Learning
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Topology identification in distribution system via machine learning algorithms.

PloS one Jun 1, 2021
This paper contributes to the literature on topology identification (TI) in distribution networks and, in particular, on change detection in switching devices' status. The lack of measurements in distribution networks compared to transmission network...
Statistics, Nonparametric Electricity Normal Distribution Support Vector Machine Decision Trees Neural Networks, Computer Humans
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Machine learning for buildings' characterization and power-law recovery of urban metrics.

PloS one Jan 28, 2021
In this paper we focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us ...
Cities Models, Theoretical Machine Learning Urban Renewal Electricity
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An Electrically Actuated Soft Artificial Muscle Based on a High-Performance Flexible Electrothermal Film and Liquid-Crystal Elastomer.

ACS applied materials & interfaces Dec 7, 2020
Liquid-crystal elastomer (LCE)-based soft robots and devices via an electrothermal effect under a low driving voltage have attracted a great deal of attention for their ability on generating larger stress, reversible deformation, and versatile actuat...
Liquid Crystals Nanotubes, Carbon Silver Nanowires Robotics Equipment Design Electricity Elastomers
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