The proceedings contain 42 papers. The topics discussed include: simulation of complex network based on on-chain data security access control;research on weighted adaptive particle swarm optimization algorithm based o...
ISBN:
(纸本)9798350363821
The proceedings contain 42 papers. The topics discussed include: simulation of complex network based on on-chain data security access control;research on weighted adaptive particle swarm optimization algorithm based on Flink stream processing framework;pedestrian detection method based on improved YOLOv5s for densely occluded scenarios;cross-domain defect GAN: defect generation for defect detection in industrial area;security and privacy protection technology of AIoT intelligent transportation teaching system with 5G technology;optimizing client selection for federated learning: a PPO-based method;vehicle target detection based on improved YOLOv3 algorithm in urban transportation;VAS: an unsupervised visible area sensing module for lane classification;and research on privacy information preserving in social network based on big data.
To achieve safety control and minimize transportation costs in the transportation of dangerous goods vehicles, a multi-objective path optimization model is established. The transportation risk is evaluated by the popu...
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This paper focuses on the water level management problem of the Great Lakes, and solves the problem of solving the water level control problem by constructing a network flow model and an intelligent perception model. ...
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The proceedings contain 10 papers. The topics discussed include: knowledge distillation-based abnormal power consumption pattern detection for edge environment;a method for quality fault diagnosis based on Bayesian ne...
The proceedings contain 10 papers. The topics discussed include: knowledge distillation-based abnormal power consumption pattern detection for edge environment;a method for quality fault diagnosis based on Bayesian network D-cut set;research and application of distributed photovoltaic precise dispatching and control technology;a smooth switching strategy for steady-state operation control and fault transient control of doubly fed induction generator;virtual impedance optimizationcontrol strategy for wind turbine grid-forming converters in weak grid;the applicability study of the large wind farm wake effect model;reactive power and voltage control based on reactive power compensation coefficient and sensitivity factor;and real-time voltage control of centralized and distributed coordination in active distribution network under multiple coupling.
The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for hi...
ISBN:
(纸本)9798331509675
The proceedings contain 328 papers. The topics discussed include: investigation and performance analysis of thermo electric cooling system for electric vehicle;design of neural network-based self-tuning control for high step-forward converters in renewable energy-powered hybrid electric vehicles;applications of artificial intelligence and machine learning for accurate forecasting and optimization of renewable energy generation;enhanced thermo-physical properties of titanium dioxide nanofluids: applications in renewable energy systems and smart grid cooling technologies;viscosity behavior of multi-walled carbon nanotube nanofluids for advanced renewable energy cooling and storage systems;electric vehicle with enhanced power reliability and integrated charging technology;and adaptive rooftop solar system with optical wireless charging for electric vehicle batteries.
This paper proposes a coordinated voltage control by three-phase step voltage regulators (30SVRs) and photovoltaic (PV) units with smart inverters. An optimization problem is formulated to improve the voltage profile ...
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This paper proposes a coordinated voltage control by three-phase step voltage regulators (30SVRs) and photovoltaic (PV) units with smart inverters. An optimization problem is formulated to improve the voltage profile of distribution networks and reduce the active power curtailment of PVs. The tap positions of 30SVRs and the active and reactive power output of PVs are coordinated by whale optimization algorithm. The effectiveness of the proposed approach is verified by case studies on the IEEE 123 node test feeder. The results show that the proposed approach achieves lower voltage unbalance while avoiding excessive PV curtailment, improving utility, consumer, and environmental benefits.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).
The proceedings contain 179 papers. The topics discussed include: signal detection and demodulation algorithm based on deep learning in communication network;design and implementation of intelligent control algorithm ...
ISBN:
(纸本)9798350376173
The proceedings contain 179 papers. The topics discussed include: signal detection and demodulation algorithm based on deep learning in communication network;design and implementation of intelligent control algorithm for energy power system combined with reinforcement learning;application of artificial intelligence technology in flood early warning system;implementation of a machine intelligence pronunciation system based on Mul Tran to improve the basic English speaking skills;design and optimization algorithm of interactive education system based on virtual reality technology;application of artificial intelligence technology in intelligent environment design system;intelligent anti-collision algorithm of electric bicycle helmet based on Arduino and sensor data;and neural network algorithm in automatic allocation system of water resources.
With the increasing penetration of renewable energy sources in distribution networks, the node voltage crossing limits caused by distributed generation (DG) has brought a very big challenge to the operation and schedu...
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It is difficult for the existing workflow modeling technology to effectively deal with the complex and dynamic characteristics of business processes between enterprises, especially to support the ability of process co...
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With the rapid development of neural network models, gradient descent as the most important optimization algorithm in neural network models has received extensive attention from academia. At present, neural network te...
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