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              <text>IoT Infrastructure to Energize Electromobility</text>
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              <text>Battery electric vehicles; Charging capabilities; Cloud platform; Communication technology; Edge computing; Electromobility; Energy consumption; Energy production; Information; IoT architecture; Power grid</text>
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              <text>Mobile technology is becoming more sophisticated as it advances. A comparison of different mobility scenarios was conducted. This chapter examined how electric vehicles interact with local energy systems in Stuttgart. Utilizing a travel demand model, a charging profle based on mobility patterns was generated for electric vehicles. During a quarter, charging demand and standard household load profles were used to analyze peak hour load fow for 349 households. Considering that peak loads and charging capacity are usually separated in time, greater charging capacity might lead to lower utilization of transformers. Furthermore, a study was conducted to determine if the existing infrastructure was adequate for future demand, focusing on substation transformer reserves. Electromobility is a rapidly growing and evolving application domain of the Internet of Things, with a huge market potential in various areas. It incorporates many stakeholders  from manufacturers to the players of the energy market  with all sorts of physical and virtual resources. It is essential to allow these devices and systems to collaborate to create advanced e-mobility services.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.</text>
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              <text>Jaisingh W.; Nanjundan P.</text>
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              <text>Power Systems, pp. 75-97.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-031-15044-9_4" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-15044-9_4&lt;/a&gt;
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              <text>ISSN: 16121287</text>
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              <text>Jaisingh W., School of Computing Science and Engineering, VIT Bhopal University, Madhya Pradesh, Bhopal, India; Nanjundan P., Department of Data Science, Christ University, Pune, Lavasa, India</text>
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