Optimization of the electric efficiency of the electric steel making process
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.707
Abstract: Abstract This paper reports numerical and practical results of an open-loop optimal control formulation that reduces the power consumption of the electric arc furnace (EAF) steel production process. A control vector parametrization technique is used… read more here.
Keywords: power; steel; electric efficiency; optimization electric ... See more keywords
Optimization of electric propulsion system for a hybridized vehicle
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DOI: 10.1080/15397734.2018.1520129
Abstract: Abstract The reduction of vehicle fuel consumption is one of the most important targets for the automotive industry. Plug-in electric vehicles (PHEVs) are considered a viable alternative to improve the vehicle performance and efficiency. This… read more here.
Keywords: electric propulsion; vehicle; propulsion system; optimization ... See more keywords
Transfer Learning Through Deep Learning: Application to Topology Optimization of Electric Motor
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DOI: 10.1109/tmag.2019.2956849
Abstract: This article proposes the use of transfer learning for the deep neural network to reduce the computing cost of the topology optimization of electric motors based on a genetic algorithm (GA). The average torque and… read more here.
Keywords: learning deep; topology optimization; topology; transfer learning ... See more keywords
Multi-Objective Optimization of Electric Vehicle Charging Station Deployment Using Genetic Algorithms
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DOI: 10.3390/app13084867
Abstract: The incorporation of electric vehicles into the transportation system is imperative in order to mitigate the environmental impact of fossil fuel use. This requires establishing methods for deploying the charging infrastructure in an optimal way.… read more here.
Keywords: genetic algorithms; multi objective; objective optimization; model ... See more keywords
Data for Heuristic Optimization of Electric Vehicles' Charging Configuration Based on Loading Parameters
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DOI: 10.3390/data5040102
Abstract: This dataset includes multiple files related to optimization of electric vehicles to minimize overloading in low voltage grids by varying the locations available to charge the EVs. The data include lognormally sampled hourly sorted scenarios… read more here.
Keywords: heuristic optimization; electric vehicles; optimization; optimization electric ... See more keywords