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Multitarget Detection Algorithm of UHV Line Fitting Infrared Image Based on YOLOv5
AbstractGansu section of Qishao UHV DC line accounts for 52.4% of the total line length, and manual inspection is time consuming and laborious. This...
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Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation
Evolutionary algorithms (EAs) are well-known to be well suited for multi-objective (MO) optimization. However, especially in the case of real-valued...
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Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers
As an important power transmission facility, the operational stability and safety of ultra high voltage (UHV) power transmission towers are crucial...
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Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem
Knowledge Discovery (KD) mechanisms (e.g. data mining, neural networks) receive more and more interest over the years. A KD mechanism uses an...
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Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent
Evolutionary algorithms (EAs) are the preferred method for solving black-box multi-objective optimization problems, but when gradients of the...
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Grid-Level Data Oriented Real-Time Automatic Calculation and Storage Method
The intelligent grid dispatch automation system has a high demand for system computing capabilities. The current system lacks automatic calculation...
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Ensuring Smoothly Navigable Approximation Sets by Bézier Curve Parameterizations in Evolutionary Bi-objective Optimization
The aim of bi-objective optimization is to obtain an approximation set of (near) Pareto optimal solutions. A decision maker then navigates this set...
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Cross Station-Voltage-Level Route Planning Algorithm for System Protection Services in UHV Grid
Since the current route planning algorithms for system protection service in communication network fail to consider the situation of station voltage...
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Artificial intelligence strategies for simulating the integrated energy systems
In recent decades, the operational impact of Artificial Intelligence (AI) strategies is massively dominating the scientific arena of improving the...
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Investment Performance Model of Regional Power Grid Based on Entropy Weight Fuzzy Comprehensive Evaluation
As a pillar industry of the country, the power industry plays a significant role in economic development. The current investment in power grid...
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Research on Digital Twin Technology of Main Equipment for Power Transmission and Transformation Based on Big Data
This paper faces the typical application scenarios of power grid equipment operation and maintenance, maintenance management, emergency disposal,...
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High Voltage Power Communication Network Security Early Warning and Monitoring System Based on HMAC Algorithm
Aiming at the problems of long time consuming and low accuracy of the current high voltage power communication network security early warning and...
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Simulation Research on Modular DC Grid-Connected PV System
An efficient three-port interleaved boost LLC resonant converter is used as the basic converter unit of the modular DC grid-connected photovoltaic...
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Application of Whole-Service Ubiquitous Internet of Things in Power System
The Internet of Things is the key technology to promote the operation efficiency of the power grid in the future, aiming at the problem of many kinds...
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Online Monitoring Method for Hazard Source of Power System Network Based on Mobile Internet
In the power system network, aiming at the low accuracy of traditional network hazard online monitoring method, an online monitoring method for...
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Design of Experiment Management System for Stability Control System Based on Blockchain Technology
Stability control system (SCS) plays a very important role in the operation of power systems, so it is correspondingly essential to ensure the...
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Research on Differential Protection and Security in Power System Under 5G Environment
In the face of the differentiation of business requirements, the diversification of application scenarios and the challenge of isomerization of...
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Research on Experimental Verification Scheme of 5G in Power System
This paper presents a new and higher requirement for the collection, bearing, analysis and application of the power base data in the power network,...
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Study of correlation between the steels susceptibility to hydrogen embrittlement and hydrogen thermal desorption spectroscopy using artificial neural network
Steels are the most used structural material in the world, and hydrogen content and localization within the microstructure play an important role in...
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Variational Hyper-encoding Networks
We propose a framework called HyperVAE for encoding distributions of distributions. When a target distribution is modeled by a VAE, its neural...