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Can I read Assessment on economic power management for smart city through IoT sensor model on EtoBox?

Assessment on economic power management for smart city through IoT sensor model by Bhola Khan; Kirubadevi S; Swathi Agarwal; Prasad M; Bhaskar Thupakula; M. Raja Ambethkar is a Computer Science article available to read on EtoBox.

What is Assessment on economic power management for smart city through IoT sensor model about?

Despite not being uniform, urban economic growth usually shows some inconsistency. Urban sustainable development may be harmed if the financial instability goes above a particular threshold. This article examines the current status of India's macro-economic real-time management of early warning alert systems and information warehouse-related innovations. In order to deal with the significant loss caused by the increased variation of an urban economy, it analyzes and explicates the position of Internet of Things (IoT) technology in the macro-economic alert system. This reviews the development path of financial monitoring and early alerting system whichsorts out and compares numerous popular economic monitoring techniques.Depending on IoT technology, the urban economic reports surveillance & advance warning system has conducted research on information transfer, tracking, forecasts, analysis, and presentation. After simulating the system, the proposed research's findings indicate that the overall accuracy of the model's macroeconomic fluctuation forecast approaches 80%, which may be used in real life.

Who reads Assessment on economic power management for smart city through IoT sensor model?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Bhola Khan; Kirubadevi S; Swathi Agarwal; Prasad M; Bhaskar Thupakula; M. Raja Ambethkar
Publisher
Elsevier BV
Published
2022
Language
EN
Field
Computer Science (Physical Sciences)