Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation

Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation

Harish Ravali Kasiviswanathan, Sivaram Ponnusamy, K. Swaminathan
ISBN13: 9798369318188|ISBN13 Softcover: 9798369345795|EISBN13: 9798369318195
DOI: 10.4018/979-8-3693-1818-8.ch012
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MLA

Kasiviswanathan, Harish Ravali, et al. "Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation." Digital Twin Technology and AI Implementations in Future-Focused Businesses, edited by Sivaram Ponnusamy, et al., IGI Global, 2024, pp. 176-194. https://doi.org/10.4018/979-8-3693-1818-8.ch012

APA

Kasiviswanathan, H. R., Ponnusamy, S., & Swaminathan, K. (2024). Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation. In S. Ponnusamy, M. Assaf, J. Antari, S. Singh, & S. Kalyanaraman (Eds.), Digital Twin Technology and AI Implementations in Future-Focused Businesses (pp. 176-194). IGI Global. https://doi.org/10.4018/979-8-3693-1818-8.ch012

Chicago

Kasiviswanathan, Harish Ravali, Sivaram Ponnusamy, and K. Swaminathan. "Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation." In Digital Twin Technology and AI Implementations in Future-Focused Businesses, edited by Sivaram Ponnusamy, et al., 176-194. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1818-8.ch012

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Abstract

This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing platform (CS-DT). Through the utilization of SOA and cloud computing features, the newly developed digital twin solution not only exhibits improved dependability but also provides advantages such as compatibility across different platforms, streamlined deployment of lightweight applications, and simplified procedures for updates and maintenance. These merits effectively mitigate the drawbacks associated with conventional digital twin development. The proposed approach has been effectively put into practice within practical systems, yielding operational results spanning over a year, thus underscoring its substantial potential for broad adoption in diverse industries and domains.

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