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Smart city article details

Title	Challenges And Techniques In Data-Driven Systems For Smart Cities
ID_Doc	13639
Authors	Shukla S.G.; Bachhav P.K.; Pachorkar P.R.; Jain A.R.; Patil P.C.; Kulkarni P.R.
Year	2024
Published	Data-Driven Systems and Intelligent Applications
DOI	http://dx.doi.org/10.1201/9781003388449-2
Abstract	Due to the abundance of data and developments in machine learning and computational intelligence approaches, data-driven models are seeing a boom in adoption across a variety of application fields. One difference between data-driven models and analytical and numerical ones is the use of experimental input/output data measured from real-world systems. The procedure known as system identification explains data-driven modeling in control and systems engineering. It involves collecting input-output data, selecting a model class, estimating model parameters, and lastly testing the estimated model. The user needs to be creative, understand the physical system, and have access to a variety of linear and nonlinear model structures and estimation algorithms in order to create a data-driven model that works for the intended application, such as simulation, prediction, control, and fault detection. In order to raise the quality of life for city inhabitants, “smart cities” integrate many forms of cutting-edge technologies, particularly information and communication networks. In addition to improving the efficiency of municipal resources, smart cities make cities more resilient and environmentally friendly. Apps in smart cities enable a wide range of smart infrastructure, including water and energy networks, transportation and healthcare systems, and public safety and security. Despite the fact that these apps have various benefits, they also come with challenges. This chapter provides a summary of the problems and solutions associated with smart cities. © 2025 selection and editorial matter, Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N., Harish Garg, and Alessandro Bruno; individual chapters, the contributors.
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