Currently, the IT market is promoting the use of cloud resources to build solutions using machine learning. Some projects require full independence from external resources, mainly due to the volatility of prices for r...
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ISBN:
(纸本)9798350380279;9798350380262
Currently, the IT market is promoting the use of cloud resources to build solutions using machine learning. Some projects require full independence from external resources, mainly due to the volatility of prices for renting computing power and services provided by the cloud. The paper presents the creation process of scalable "on-premise" environment enabling the construction and development of artificial intelligence systems in the field of natural language processing. The proposed approach was based on aspects related to containerization, scalability, and automation of the machine learning process. Therefore, the created "on-premise" environment can be used in the implementation and delivery of systems based on artificial intelligence.
This paper focuses on the controller in the power transmission auxiliary system of tracked vehicles. Through the process of simplifying the model, initial stiffness calculation, sample set establishment, network train...
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The main protection of transmission lines against electrical faults is the distance relay. According to the feature of this relays, which detect faults by utilizing the impedance of the line, they are susceptible to m...
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This study aims to design an automated monitoring platform for business processes in power grid enterprises aimed at digital operations. Through four experiments, we evaluated the performance of the platform in fault ...
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This paper explores various Maximum power Point Tracking (MPPT) techniques in photovoltaic systems, focusing on their efficiency under different environmental conditions. Traditional methods like Perturb and Observe (...
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The article discusses the power supply system of a railway automation and telemechanics device, namely a railway traffic light (hereinafter referred to as a traffic light), using solar energy as an alternative power s...
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Taking into account the distinct location and challenging climate of the Xingchuan Photovoltaic power Station, this paper puts forward an in-depth study on the intelligent operation and maintenance (O&M) of photov...
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Smart Micro-grid systems are advanced electrical grids that enhance efficiency, reliability, and safety through computerized management and digital communication. They integrate renewable energy sources, such as solar...
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High-end equipment with robust and excellent performance is of great significance to manufacturing automation systems. Product parameters are the foundation of performance. Usually, there is a lack of clear physical m...
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ISBN:
(纸本)9798350358513;9798350358520
High-end equipment with robust and excellent performance is of great significance to manufacturing automation systems. Product parameters are the foundation of performance. Usually, there is a lack of clear physical models to reveal the relationship between parameters and performance. Simulation is an important way to understand the design results of product performance parameters. However, simulations are often particularly time and resource-consuming. To address these issues, this work proposes a data-mechanism-driven product performance optimization method, which introduces Taguchi' method, nonparametric correlation testing, and multiple attribute decision making (MADM), to efficiently obtain the optimal parameter scheme. A novel MADM method is designed, which is combined with the Multi-Objective Optimization on the basis of a Ratio Analysis plus the full MULTIplicative form (MULTIMOORA) and the Variable Neighborhood Search. It has been proven that it performs better than the MULTIMOORA based on the well-known Simulated Annealing and Tabu search. Finally, taking the cutting unit of EBZ200i as a case study, we have successfully obtained the optimal parameter scheme that comprehensively performs better in terms of wear performance, robustness, and environmental economic performance.
Reactive voltage optimization is often based on optimal power flow calculation to achieve safe and economical operation of the power system. When the system parameters change, the optimal power flow calculation involv...
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