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              <text>IoT and Sustainability Energy Systems: Risk and Opportunity</text>
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              <text>Data transmission network; E-health; Energy; Engineering modeling; Environment; IoT; Smart city; SpliTech 2020; Sustainability</text>
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              <text>As IoT (Internet of Things) and smart technologies have developed rapidly, many technological advancements have been made possible. The IoTs main objective is to assist in simplifying processes in a number of different felds, to improve the effciency of technologies and protocols, and ultimately to improve quality of life. Although IoT technologies can beneft the population in numerous ways, their development must be evaluated from an environmental viewpoint to ensure that global resources are used effciently and to prevent negative effects. As previously described, considerable research effort is needed to explore the advantages and disadvantages of IoT technologies. Engineering professionals, industrial experts, and academic researchers successfully interacted at the conference. Several key tracks made up the conference, including smart city, energy and environment, e-health, and engineering modeling. Specifcally, the editorial covered a number of topics including (i) IoT in sustainable energy and environmental management, (ii) smart cities enabled by IoT, (iii) ambient assisted living, and (iv) IoT technologies for transportation and low-carbon products. An important outcome of our introductory analysis has been a greater understanding of both the scientifc developments in IoT applications and the potential ecological consequences associated with increasing IoT applications.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.</text>
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              <text>Nanjundan P.; George J.P.</text>
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              <text>Power Systems, pp. 287-308.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-031-15044-9_14" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-15044-9_14&lt;/a&gt;
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              <text>ISSN: 16121287</text>
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              <text>Nanjundan P., Department of Data Science, Christ University, Pune, Lavasa, India; George J.P., Department of Data Science, Christ University, Pune, Lavasa, India</text>
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